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1. Introduction
This is the nineteenth in a series of bibliographies on
computer processing of pictorial information, covering
primarily items published during 1988. The coverage is
restricted, for the most part, to a selected set of U.S. or
international journals and proceedings of specialized
meetings. No attempt is made to summarize or evaluate the
items cited; the purpose is simply to provide a convenient
compendium of references, grouped by subject.
The references are arranged under the following
headings:
(A) General references
(B) Related topics
(C) Applications*
(D) Architectures
(E) Computational techniques
(F) Feature detection, segmentation, image analysis
(G) Matching, stereo, time-varying imagery
(H) Shape; (@roman H prime@) Geometry*
(I) Color and texture
(J) Three-dimensional scene analysis
Letter/number codes in the text (A.1, etc.) correspond to
sections of the bibliography.
Papers, books, etc. relating primarily to specific
topics will be cited in later sections. In this section we
cite references that relate to more than one topic:
(A.1) Meetings and meeting proceedings [1-22]
(A.2) Journal special issues [23-28], a paper collection
[29], two general papers [30-31], descriptions of
research at various institutions [32-45], and the
previous bibliography in this series [46].
____________________
*Because of the continued growth of this bibliography, in
future years individual papers in areas (C) and (@size 11
{roman H prime}@) will no longer be cited.
2. Related topics
The following related areas are not covered
systematically, but we give a few references on them:
(B.1) Computer graphics: Meetings and proceedings
[47-52], tutorials [53-55], etc. [56-59]. (Many
papers on image synthesis are cited in Section J.4.)
(B.2) Image input/output [60-61] (see also [62-68] on
halftoning, etc.); image coding [69-72] (see also
[73]).
(B.3) Image processing (multidimensional signal
processing, enhancement, restoration,
reconstruction)-general references [74-76], as well
as papers on image smoothing [77-88] and contrast
enhancement [89-93] (see also [94-97]).
(B.4) Optical processing [98-102].
(B.5) Neural nets [103-127].
(B.6) Visual perception [128-144] (some general and
miscellaneous references. A few papers on specific
aspects of perception are cited in later sections.)
(B.7) Pattern recognition and artificial intelligence-some
general references [145-167], as well as some papers
related to constraint satisfaction, etc. [168-181]
(see also [182]).
3. Applications
(C.1) Character recognition (both off- and on-line)
[183-227]; see also [228-245], as well as [246-258]
on processing of drawings, etc.
(C.2) Biomedical applications [259-308].
(C.3) Industrial applications [309-327] (inspection
[328-349], robot manipulation [350-359]).
(C.4) Robot navigation [360-406] (see also [407]).
(C.5) Remote sensing [408-431], reconnaissance [432-439].
(C.6) Miscellaneous applications [440-456] (see also
[457-459]).
2
4. Architectures
(D.1) General references [460-475].
(D.2) Meshes, etc. [476-523].
(D.3) Other systems [524-550].
(D.4) Related topics [551-575].
5. Computational techniques
(E.1) Image operations (convolutions, morphological
operations, etc.) [576-600].
(E.2) Multiresolution representations, scale space methods
[601-617].
(E.3) Geometric transformations, camera calibration
[618-631].
(E.4) Interpolation, surface reconstruction [632-637] (see
also [638-645] on regularization, etc.).
6. Feature detection, segmentation, and image analysis
(F.1) Feature detection [646-699].
(F.2) Segmentation [700-736].
(F.3) Image analysis [737-779].
7. Matching, stereo, and motion
(G.1) Matching [780-821]; see also [822-839] on Hough
transforms, and [840-853] on string and graph
matching, as well as [854-855].
(G.2) Stereo [856-895] (see also [896-897]).
(G.3) Motion [898-1005] (see also [1006-1020]).
8. Shape
(H.1) Representation [1021-1048].
(H.2) Contour smoothing, approximation and segmentation
[1049-1066].
3
(H.3) Topology, distance, thinning [1067-1104].
(H.4) Properties [1105-1127].
(H.5) Recognition [1128-1140](see also [1141-1147]).
@fat 8 primed@. Geometry
(@roman H primed@.1)
General [1148-1153] and miscellaneous [1154-1176]
references.
(@roman H primed@.2)
Convexity, visibility, intersections, search, etc.
[1177-1211].
(@roman H primed@.3)
Separability, covering, decomposition, packing,
layout, etc. [1212-1237].
(@roman H primed@.4)
Distance, etc. [1238-1268].
(@roman H primed@.5)
Path planning [1269-1289].
9. Color and texture
(I.1) Color and reflectivity [1290-1306].
(I.2) Texture: models, synthesis [1307-1325].
(I.3) Texture: description [1326-1340].
(I.4) Texture: segmentation [1341-1357].
10. Three-dimensional scene analysis
(J.1) Acquisition of range data [1358-1371]; feature
detection and segmentation [1372-1387] (see also
[1388-1393] on grasping, and [1394-1405] on 3D
images).
(J.2) Inference of 3D data from images (``shape from x'')
[1406-1455].
(J.3) 3D shape representation and modeling (surfaces and
solids) [1456-1521].
4
(J.4) Synthesis of 3D and shaded images [1522-1555].
(J.5) 3D object recognition [1556-1611].
(J.6) 3D geometry [1612-1622]; miscellaneous references on
3D computer vision [1623-1635].
5
REFERENCES
For brevity, the following frequently cited sources are
cited in abbreviated forms:
A. Books and Conference Proceedings
Abbreviation Book or Conference
ACV Advances in Computer Vision
CG Computational Geometry
CM Computational Morphology
CVPR Computer Vision and Pattern Recognition
ICCV International Conference on Computer Vision
ICPR International Conference on Pattern Recognition
IUW Image Understanding Workshop
MCV Multicomputer Vision
MVAAS Machine Vision-Algorithms Architectures, and Systems
PCV Parallel Computer Vision
SIGGRAPH SIGGRAPH '88 Conference
B. Journals
Abbreviation Journal
AI Artificial Intelligence
C&G Computers and Graphics
CGA IEEE Computer Graphics and Applications
CVGIP Computer Vision, Graphics, and Image Processing
DCG Discrete and Computational Geometry
IJCV International Journal of Computer Vision
IJMMS International Journal of Man-Machine Systems
IJPRAI International Journal of Pattern Recognition and Artificial
Intelligence
IJRR International Journal of Robotics Research
IPL Information Processing Letters
IS Information Sciences
IVC Image and Vision Computing
J-RA IEEE Journal of Robotics and Automation
JCSS Journal of Computer and System Sciences
JPDC Journal of Parallel and Distributed Computing
MVA Machine Vision and Applications
PC Parallel Computing
P-IEEE Proceedings of the IEEE
PR Pattern Recognition
PRL Pattern Recognition Letters
SIAM JC SIAM Journal on Computing
SP Signal Processing
T-ASSP IEEE Transactions on Acoustics, Speech, and Signal
Processing
T-CAS IEEE Transactions on Circuits and Systems
T-COMP IEEE Transactions on Computers
T-GRS IEEE Transactions on Geoscience and Remote Sensing
T-IT IEEE Transactions on Information Theory
6
T-PAMI IEEE Transactions on Pattern Analysis and Machine
Intelligence
T-SE IEEE Transactions on Software Engineering
T-SMC IEEE Transactions on Systems, Man, and Cybernetics
TCS Theoretical Computer Science
TOG ACM Transactions on Graphics
VC The Visual Computer
A. General References
A.1. Meetings
1. V. Cantoni, S. Levialdi, and G. Musso, eds., Image
Analysis and Processing (Proceedings of the Third
International Conference, Rapallo, Italy, September
30-October 2, 1985), Plenum Press, New York, 1986.
2. S.S. Chen, ed., Image Understanding in Unstructured
Environment (Erice-Trapani, Sicily, January 5-25,
1987), World Scientific, Singapore, 1988.
3. H. Freeman, ed., Machine Vision-Algorithms,
Architectures, and Systems (Proceedings of a
workshop ``Machine Vision: Where are we Going'',
New Brunswick, NJ, April 6-7, 1987), Academic Press,
Boston, 1988.
4. G.W. Hughes, P.E. Mantey, and B.E. Rogowitz, eds.,
Image Processing, Analysis, Measurement, and Quality
(Los Angeles, CA, January 13-15, 1988), Proc. SPIE
901.
5. AAAI Symposium on Physical and Biological Approaches
to Computational Vision, Stanford, CA, March 22-24,
1988.
6. Fourth International Conference on Pattern
Recognition (British Pattern Recognition
Association), Cambridge, UK, March 28-30, 1988.
7. R.D. Juday, ed., Digital and Optical Shape
Representation and Pattern Recognition (Orlando, FL,
April 4-6, 1988), Proc. SPIE 938.
8. Proceedings, Image Understanding Workshop
(Cambridge, MA, April 6-8, 1988), Morgan Kaufmann,
San Mateo, CA, 1988.
9. Presenting and Extracting Information in Images,
Oxford, UK, April 11-13, 1988.
7
10. Proceedings, CVPR '88 (Computer Society Conference
on Computer Vision and Pattern Recognition, Ann
Arbor, MI, June 5-9, 1988), Computer Society Press,
Washington, DC, 1988.
11. Vision Interface '88 (Canadian Conference on Pattern
Recognition and Picture Processing), Edmonton,
Alberta, June 6-10, 1988.
12. UNESCO Advanced School on Machine Vision, Udine,
Italy, July 18-22, 1988.
13. A.G. Tescher, ed., Applications of Digital Image
Processing XI (San Diego, CA, August 15-17, 1988),
Proc. SPIE 974.
14. From the Pixels to the Features, COST 13 Workshop,
Castera-Verduzan, France, August 22-27, 1988.
15. P. Hutzler and A. Oosterlinck, eds., Image
Processing (SPIE), Hamburg, FRG, September 19-23,
1988.
16. IAPR Workshop on Computer Vision-Special Hardware
and Industrial Applications, Tokyo, Japan, October
12-14, 1988.
17. Seventeenth Workshop on Applied Imagery Pattern
Recognition (SPIE), Washington, DC, November 2-4,
1988.
18. T.R. Hsing, ed., Visual Communications and Image
processing '88 (Cambridge, MA, November 9-11, 1988),
Proc. SPIE 1001.
19. D.P. Casasent and E.L. Hall, eds., Intelligent
Robots and Computer Vision (Cambridge, MA, November
7-11, 1988), Proc. SPIE 1002.
20. P.S. Schenker and C.A. McPherson, eds. Sensor
Fusion: Spatial Reasoning and Scene Interpretation
(Cambridge, MA, November 7-9, 1988), Proc. SPIE
1003.
21. Ninth International Conference on Pattern
Recognition (Rome, Italy, November 14-17, 1988),
Computer Society Press, Washington, DC, 1988.
22. Second International Conference on Computer Vision
(Tampa,, FL, December 5-8, 1988), Computer Society
Press, Washington, DC, 1988.
8
A.2. Collections, etc.
23. A.N. Venetsanopoulos, guest ed., Special Issue on
Digital Image Processing and Applications, T-CAS 34
(11), November 1987, 1261-439.
24. Special Issue: 3rd Alvey Vision Meeting, IVC 6 (2),
May 1988, 59-136.
25. O. Firschein, guest ed., Special Issue on Machine
Vision and Image Understanding, (Papers from the
IEEE Systems, Man, and Cybernetics Conference,
Alexandria, VA, October 20-23, 1987), IEEE Control
Systems Magazine 8 (3), June 1988, 3-61.
26. H. Li and J.R. Kender, guest eds., Special Issue on
Computer Vision,
P-IEEE 76 (8), August 1988, 859-1050.
27. J.P. Haton, guest ed., Selected Papers of 8th
International Conference on Pattern Recognition
(Paris, France, October 27-31, 1986), IJPRAI 2 (3),
September 1988, 387-588.
28. J. Biemond, guest ed., Special Issue on
Multidimensional Signal Processing (Fifth MDSP
Workshop, Noordwijkerhout, The Netherlands,
September 14-16, 1987), SP 15 (3), October 1988,
223-350.
29. C. Brown, ed., Advances in Computer Vision (2
vols.), Erlbaum, Hillsdale, NJ, 1988.
30. A. Rosenfeld, Computer vision, in M.C. Yovits, ed.,
Advances in Computers 27, Academic Press, Boston,
MA, 1988.
31. A. Rosenfeld, Computer vision: basic principles,
P-IEEE 76, 1988, 863-868.
32. T. Poggio and the staff, MIT progress in
understanding images, IUW, 1-12.
33. R. Nevatia, USC image understanding research, IUW,
13-16.
34. T.O. Binford, Image understanding: intelligent
systems, IUW, 17-28.
9
35. A. Rosenfeld, L.S. Davis, and J.(Y.) Aloimonos,
Image understanding research at the University of
Maryland (December 1986 - January 1988), IUW, 29-39.
36. T. Kanade, CMU image understanding research, IUW,
40-52.
37. M.A. Fischler and R.C. Bolles, Image understanding
research at SRI International, IUW, 53-61.
38. E.M. Riseman and A.R. Hanson, Summary of image
understanding research at the University of
Massachusetts, IUW, 62-72.
39. C.M. Brown, Progress in image understanding at the
university of Rochester, IUW, 73-77.
40. J.R. Kender, P.K. Allen, T.E. Boult, and H.A.H.
Ibrahim, Image understanding and robotics research
at Columbia University, IUW, 78-87.
41. K.E. Olin, M.J. Daily, J.G. Harris, and K. Reiser,
Knowledge-based vision technology progress at Hughes
AI Center, IUW, 88-93.
42. J.L. Mundy, Image understanding research at GE, IUW,
94-95.
43. J.(Y.) Aloimonos, L.S. Davis, and A. Rosenfeld, The
Maryland approach to image understanding, IUW,
154-165.
44. N. Ahuja and T. Huang, IU at UI: an overview and an
example on shape from texture, IUW, 222-253.
45. W. Wiitanen, A perspective on machine vision at
General Motors, MVAAS, 149-159.
46. A. Rosenfeld, Image analysis and computer vision:
1987, CVGIP 42, 1988, 234-293.
B. Related topics
B.1. Graphics
47. R.A. Earnshaw, ed., Theoretical Foundations of
Computer Graphics and CAD (Proceedings of a NATO
Advanced Study Institute, Il Ciocco, Italy, July
4-17, 1987), Springer, Berlin, 1988.
10
48. NCGA '88 (Ninth Annual Conference and Exposition,
National Computer Graphics Association), Anaheim,
CA, March 20-24, 1988.
49. Computer Graphics International '88 (Computer
Graphics Society), Geneva, Switzerland, May 24-27,
1988.
50. Proceedings, Graphics Interface '88 (Edmonton,
Alberta, June 6-10, 1988), Morgan Kaufmann, San
Mateo, CA, 1988.
51. D. Peachey, guest ed., Selections from Graphics
Interface 88, CGA 8 (6), November 1988, 24-70.
52. SIGGRAPH '88 (15th Annual Conference on Computer
Graphics and Interactive Techniques, Atlanta, GA,
August 1-5, 1988), Computer Graphics 22 (4), August
1988.
53. M.M. de Ruiter, ed., Advances in Computer Graphics
III (Eurographics '87 tutorials, Amsterdam, The
Netherlands, August 24-27, 1987), Springer, Berlin,
1988.
54. H. Reghbati and A.Y.C. Lee, eds., Computer Graphics
Hardware, IEEE Computer Society, Washington, DC,
1988.
55. K. Joy, C. Grant, M. Nelson, and L. Hatfield, eds.,
Computer Graphics: Image Synthesis, IEEE Computer
Society, Washington, DC, 1988.
56. R. Salmon and M. Slater, Computer Graphics: Systems
and Concepts, Addison-Wesley, Reading, MA, 1987.
57. R.A. Earnshaw, The mathematics of computer graphics,
VC 3, 1987, 115-124.
58. B.H. McCormick, T.A. DeFanti, and M.D. Brown,
Visualization in Scientific Computing, Computer
Graphics 21 (6), November 1987.
59. J.J. McConnell, Dissertation abstracts in computer
graphics, Computer Graphics 22, 1988, 77-94.
11
B.2. Image I/O and coding
60. S. Sherr, Input Devices, Academic Press, Boston, MA,
1988.
61. R.C. Durbeck and S. Sherr, Output Hardcopy Devices,
Academic Press, Boston, MA, 1988.
62. M.A. Berezovsky and A.K. Yablonsky, Synthesis of
halftone 3D images on an array processor, C&G 12,
1988, 433-440.
63. M. Werman and S. Peleg, Gray level requantization,
CVGIP 43, 1988, 81-87.
64. R.A. Ulichney, Dithering with blue noise, P-IEEE 76,
1988, 56-79.
65. D.E. Knuth, Digital halftones by dot diffusion,
TOG 6, 1987, 245-273.
66. H. Rom and S. Peleg, Image representation using
Voronoi tessellation: adaptive and secure, CVPR,
282-285.
67. S. Linnainmaa, New efficient representations of
photographic images with restricted number of gray
levels, ICPR, 143-145.
68. S. Forchhammer and M. Forchhammer, Algorithms for
coding scanned halftone pictures, ICPR, 297-299.
69. 1988 Picture Coding Symposium, Torino, Italy,
September 12-14, 1988.
70. A.N. Netravali and B.G. Haskell, Digital Pictures-
Representation and Compression, Plenum Press, New
York, 1988.
71. M. Kunt, M. Benard, and R. Leonardi, Recent results
in high-compression image coding, T-CAS 34, 1987,
1306-1336.
72. M. Kunt, Progress in high compression image coding,
IJPRAI 2, 1988, 387-405.
73. D.A. Lelewer and D.S. Hirschberg, Data compression,
Computing Surveys 19, 1987, 261-296.
12
B.3. Image processing
74. F.M. Wahl, Digital Image Signal Processing, Artech
House, Norwood, MA, 1987.
75. A.C. Kak and M. Slaney, eds., Principles of
Computerized Tomographic Imaging, IEEE Press, New
York, 1988.
76. J.L.C. Sanz, E.B. Hinkle, and A.K. Jain, Radon and
Projection Transform-Based Computer Vision
Algorithms, a Pipeline Architecture, and Industrial
Applications, Springer, Berlin, 1988.
77. E.R. Davies, On the noise suppression and image
enhancement characteristics of the median, truncated
median and mode filters, PRL 7, 1988, 87-97.
78. M. Spann and A. Nieminen, Adaptive Gaussian weighted
filtering for image segmentation, PRL 8, 1988,
251-255.
79. A. Nieminen and Y. Neuvo, Comments on ``Theoretical
analysis of the max/median filter'', T-ASSP 36,
1988, 826-827.
80. M. Rabbani, Bayesian filtering of Poisson noise
using local statistics,
T-ASSP 36, 1988, 933-937.
81. A. Restrepo and A.C. Bovik, Adaptive trimmed mean
filters for image restoration,
T-ASSP 36, 1988, 1326-1337.
82. R. Bernstein, Adaptive nonlinear filters for
simultaneous removal of different kinds of noise in
images, T-CAS 34, 1987, 1275-1291.
83. M.O. Ahmad and D. Sundararajan, A fast algorithm for
two-dimensional median filtering, T-CAS 34, 1987,
1364-1374.
84. G.R. Arce and N.C. Gallagher Jr., Stochastic
analysis for the recursive median filter process,
T-IT 34, 1988, 669-679.
85. Y. Nomura and H. Naruse, Reduction of obscuration
noise using multiple images, T-PAMI 10, 1988,
267-270.
13
86. P. Saint-Marc and G. Medioni, Adaptive smoothing for
feature extraction, IUW, 1100-1113.
87. (X. Sun), (P. Yan), and (T. Chang), A new smoothing
filter for directional detection and enhancement,
ICPR, 628-630.
88. T. Lonnestad, Connected filters for noise removal,
ICPR, 848-850.
89. L. O'Gorman, A note on histogram equalization for
optimal intensity range utilization, CVGIP 41, 1988,
229-232.
90. A.J. McCallum, C.C. Bowman, P.A. Daniels, and B.G.
Batchelor, A histogram modification unit for real-
time image enhancement, CVGIP 42, 1988, 387-398.
91. P.A. Chochia, Image enhancement using sliding
histograms, CVGIP 44, 1988, 211-229.
92. T.K. De and B.N. Chatterji, An approach to a
generalised technique for image contrast enhancement
using the concept of fuzzy set, Fuzzy Sets
Systems 25, 1988, 145-158.
93. A.M. Vossepoel, B.C. Stoel, and A.P. Meershoek,
Adaptive histogram equalization using variable
regions, ICPR, 351-353.
94. M.M. Fleck, Representing space for practical
reasoning, IVC 6, 1988, 75-86.
95. L.D. Jacobson and H. Wechsler, Joint
spatial/spatial-frequency representation, SP 14,
1988, 37-68.
96. M. Porat and Y.Y. Zeevi, The generalized Gabor
scheme of image representation in biological and
machine vision, T-PAMI 10, 1988, 452-468.
97. M. Porat and Y.Y. Zeevi, Pattern analysis and
texture discrimination in the Gabor space, ICPR,
700-702.
14
B.4. Optical processing
98. N. Peyghambarian, ed., Optical Computing and
Nonlinear Materials (Los Angeles, CA, January 11-13,
1988), Proc. SPIE 881.
99. D.R. Pape, ed., Advances in Optical Information
Processing III (Orlando, FL, April 6-8, 1988), Proc.
SPIE 936.
100. D.P. Casasent and A.G. Tescher, eds., Hybrid Image
and Signal Processing (Orlando, FL, April 7-8,
1988), Proc. SPIE 939.
101. N. Collings, Optical Pattern Recognition Using
Holographic Techniques, Addison-Wesley, Reading, MA,
1988.
102. D.G. Feitelson, Optical Computing-A survey for
Computer Scientists, MIT Press, Cambridge, MA, 1988.
B.5. Neural nets
103. D.Z. Anderson, ed., Neural Information Processing
Systems (Denver, CO, November 8-12, 1987), American
Institute of Physics, 1988.
104. R.A. Athale and J. Davis, eds., Neural Network
Models for Optical Computing (Los Angels, CA,
January 12-14, 1988), Proc. SPIE 882.
105. D. Touretzky, G. Hinton, and T. Sejnowski, eds.,
Proceedings of the 1988 Connectionist Models Summer
School, Morgan Kaufmann, San Mateo, CA, 1988.
106. IEEE International Conference on Neural Networks,
San Diego, CA, July 24-27, 1988.
107. First Annual Meeting, International Neural Network
Society, Boston, MA, September 6-10, 1988.
108. Neuro-Nimes 88, International Workshop on Neural
Networks and their Applications, Nimes, France,
November 15-17, 1988.
109. IEEE Conference on Neural Information Processing
Systems-Natural and Synthetic, Denver, CO, November
28-December 1, 1988.
15
110. R.J. MacGregor, Neural and Brain Modeling, Academic
Press, Boston, MA, 1987.
111. S. Grossberg, Neural Networks and Natural
Intelligence, MIT Press, Cambridge, MA, 1988.
112. D. Waltz and J. Feldman, eds., Connectionist Models
and their Implications, Ablex, Norwood, NJ, 1988.
113. J.A. Anderson and E. Rosenfeld, eds.,
Neurocomputing-Foundations of Research, MIT Press,
Cambridge, MA, 1988.
114. D. Touretzky, ed., Advances in Neural Information
Processing Systems, Morgan Kaufmann, San Mateo, CA,
1989.
115. B.D. Shriver, guest ed., Artificial Neural Systems,
Computer 21 (3), March 1988, 8-117.
116. L.J. Griffiths, guest ed., Special Section on Neural
Networks, T-ASSP 36 (7), July 1988, 1107-1190.
117. Y.S. Abu-Mostafa, guest ed., Special Issue on Neural
Computation, J. Complexity 4 (3), September 1988,
175-250.
118. P. Smolensky, On the proper treatment of
connectionism, Behavioral Brain Sciences 11, 1988,
1-74.
119. S.I. Gallant, Connectionist expert systems, Comm.
ACM 31, 1988, 152-169.
120. J.A. Feldman, M.A. Fanty, N.H. Goddard, and K.J.
Lynne, Computing with structured connectionist
networks, Comm. ACM 31, 1988, 170-187.
121. B. Widrow and R. Winter, Neural nets for adaptive
filtering and adaptive pattern recognition,
Computer 21(3), 1988, 25-39.
122. H.P. Graf, L.D. Jackel, and W.E. Hubbard, VLSI
implementation of a neural network model,
Computer 21(3), 1988, 41-49.
123. K. Fukushima, A neural network for visual pattern
recognition, Computer 21(3), 1988, 65-75.
16
124. G.A. Carpenter and S. Grossberg, The ART of adaptive
pattern recognition by a self-organizing neural
network, Computer 21(3), 1988, 77-88.
125. J.A. Feldman, M.A. Fanty, and N.H. Goddard,
Computing with structured neural networks,
Computer 21(3), 1988, 91-103.
126. R. Linsker, Self-organization in a perceptual
network, Computer 21(3), 1988, 105-117.
127. B.M. Forrest, D. Roweth, N. Stroud, D.J. Wallace,
and G.V. Wilson, Neural network models, PC 8, 1988,
71-83.
B.6. Visual perception
128. Visual Form and Motion Perception: Psychophysics,
Computation, and Neural Networks, Boston, MA, March
4-5, 1988.
129. Symposium on Frontiers of Visual Science, National
Research Council, Washington, DC, March 18, 1988.
130. Exploratory Vision: The Active Eye, Ann Arbor, MI,
June 13-17, 1988.
131. New Insights on Visual Cortex, Rochester, New York,
June 16-18, 1988.
132. First International Conference on Visual Search,
Durham, UK, September 5-8, 1988.
133. J.W. Brown, ed., Neurophysiology of Visual
Perception, Erlbaum, Hillsdale, NJ, 1988.
134. G.W. Humphreys and M.J. Riddoch, eds., Visual Object
Processing: A Cognitive Neurophysiological Account,
Erlbaum, Hillsdale, NJ, 1988.
135. B.E. Shepp and S. Ballesteros, eds., Object
Perception-Structure and Function, Erlbaum,
Hillsdale, NJ, 1988.
136. T.J. Lombardo, The Reciprocity of Perceiver and
Environment-The Evolution of James J. Gibson's
Ecological Psychology, Erlbaum, Hillsdale, NJ, 1987.
137. G. Thines, A. Costall, and G. Butterworth,
Michotte's Experimental Phenomenology of
Perceptions, Erlbaum, Hillsdale, NJ, 1988.
17
138. W.R. Uttal, On Seeing Forms, Erlbaum, Hillsdale, NJ,
1988.
139. R. Watt, Visual Processing: Computational,
Psychophysical and Computer Research, Erlbaum,
Hillsdale, NJ, 1988.
140. M.A. Arbib, Levels of modeling of mechanisms of
visually guided behavior, Behavioral Brain
Sciences 10, 1987, 407-465.
141. D. Laming, Pre'cis of Sensory Analysis, Behavioral
Brain Sciences 11, 1988, 275-339.
142. J.J. Koenderink, Operational significance of
receptive field assemblies, Biological
Cybernetics 58, 1988, 163-171.
143. J.K. Tsotsos, A ``complexity level'' analysis of
immediate vision, IJCV 1, 1988, 303-320.
144. R. Wilson and N. Knutsson, Uncertainty and inference
in the visual system, T-SMC 18, 1988, 305-312.
B.7. Pattern recognition and artificial intelligence
145. A.G. Cohn and J.R. Thomas, eds., Artificial
Intelligence and its Applications (1985 AISB
Conference), Wiley, New York, 1986.
146. J. Hallam and C. Mellish, eds., Advances in
Artificial Intelligence (1987 AISB Conference),
Wiley, New York, 1987.
147. E. Diday, C. Hayashi, M. Jambu, and N. Ohsumi, eds.,
Recent Developments in Clustering and Data Analysis
(March 24-26, 1987), Academic Press, Boston, MA,
1988.
148. ECAI-88: Proceedings of the 8th European Conference
on Artificial Intelligence, Morgan Kaufmann, San
Mateo, CA, 1988.
149. J.E. Hayes, D. Michie, and J. Richards, eds.,
Machine Intelligence 11: Logic and the Acquisition
of Knowledge, Clarendon Press, Oxford, UK, 1988.
150. Fourth IEEE Conference on Artificial Intelligence
Applications, San Diego, CA, March 14-18, 1988.
18
151. M.M. Trivedi, ed., Applications of Artificial
Intelligence VI (Orlando, FL, April 4-6, 1988),
Proc. SPIE 937.
152. E.S. Gelsema and L.N. Kanal, eds., Pattern
Recognition and Artificial Intelligence-Towards an
Integration (Proceedings, Pattern Recognition in
Practice II, Amsterdam, The Netherlands, May 18-20,
1988), North-Holland, Amsterdam, 1988.
153. AAAI-88, Seventh National Conference on Artificial
Intelligence, St. Paul, MN, August 22-26, 1988.
154. International Computer Science Conference '88-
Artificial Intelligence: Theory and Applications,
Hong Kong, December 19-21, 1988.
155. Fifth Israeli Symposium on Artificial Intelligence-
Vision and Pattern Recognition, Tel Aviv, Israel,
December 27-28, 1988.
156. M.N. Huhns, ed., Distributed Artificial
Intelligence, Morgan Kaufmann, San Mateo, CA, 1988.
157. A. Bond and L. Gasser, eds., Readings in Distributed
Artificial Intelligence, Morgan Kaufmann, San Mateo,
CA, 1988.
158. W.A. Taylor, What Every Engineer Should Know About
Artificial Intelligence, MIT Press, Cambridge, MA,
1988.
159. J. Pearl, Probabilistic Reasoning in Intelligent
Systems: Networks of Plausible Inference, Morgan
Kaufmann, San Mateo, CA, 1988.
160. E.R. Dougherty and C.R. Giardina, Mathematical
Methods for Artificial Intelligence and Autonomous
Systems, Prentice-Hall, Englewood Cliffs, NJ, 1988.
161. A.K. Jain and R.C. Dubes, Algorithms for Clustering
Data, Prentice-Hall, Englewood Cliffs, NJ, 1988.
162. E.A. Patrick and J.M. Fattu, Artificial Intelligence
with Statistical Pattern Recognition, Prentice-Hall,
Englewood Cliffs, NJ, 1988.
163. J.P. Delahaye, Formal Methods in Artificial
Intelligence, Wiley, New York, 1987.
19
164. D. Dutta-Majumder, Pattern Directed Information
Analysis, Wiley, New York, 1988.
165. M. James, Pattern Recognition, Wiley, New York,
1988.
166. J.C. Bezdek, ed., International Journal of
Approximate Reasoning (Horth-Holland), 1987ff.
167. E. Dietrich and C. Fields, Journal of Experimental
and Theoretical Artificial Intelligence (Taylor &
Francis), 1988ff.
168. R. Dechter and J. Pearl, Network-based heuristics
for constraint-satisfaction problems, AI 34, 1987,
1-38.
169. C.C. Han and C.H. Lee, Comments on Mohr and
Henderson's path consistency algorithm, AI 36, 1988,
125-130.
170. H.W. Gusgen and J. Hertzberg, Some fundamental
properties of local constraint propagation, AI 36,
1988, 237-247.
171. T.A. Jamison and R.J. Schalkoff, Image labelling: a
neural network approach, IVC 6, 1988, 203-214.
172. A. Samal and T. Henderson, Parallel consistent
labeling algorithms, Intl. J. Parallel
Programming 16, 1987, 341-364.
173. A. Samal and T. Henderson, Parallel split-level
relaxation, IJPRAI 2, 1988, 425-442.
174. M. Kamada, K. Toraichi, R. Mori, K. Yamamoto, and H.
Yamada, A parallel architecture for relaxation
operations, PR 21, 1988, 175-181.
175. W. Wang, J. Gu, and T.C. Henderson, A pipelined
architecture for parallel image relaxation
operations, T-CAS 34, 1987, 1375-1384.
176. H.H. Liu, T.Y. Young, and A. Das, A multilevel
parallel processing approach to scene labeling
problems, T-PAMI 10, 1988, 586-590.
177. M.J. Swain and P.R. Cooper, Parallel hardware for
constraint satisfaction, IUW, 620-624.
20
178. M.J. Carlotto, Pattern classification using relative
constraints, CVPR, 450-456.
179. Y.C. Cheng and S.Y. Lu, The binary consistency
checking scheme and its applications to seismic
horizon detection, CVPR, 463-468.
180. T.C. Henderson and A. Samal, Parallel split-level
relaxation, ICPR, 220-222.
181. H.I. Bozma and J.S. Duncan, Admissibility of
constraint functions in relaxation labelling, ICCV,
328-332.
182. D. Dutta Majumder, A unified approach to artificial
intelligence, pattern recognition, image processing
and computer vision in fifth-generation computer
systems, IS 45, 1988, 391-431.
C. Applications
C.1. Character recognition
183. R. Plamondon, C.Y. Suen, and M.L. Simner, eds.,
Computer Recognition and Human Production of
Handwriting (Papers from the Third International
Symposium on Handwriting and Computer Applications,
Montreal, Quebec, 1987), World Scientific,
Singapore, 1988.
184. U.S. Postal Service Advanced Technology Conference,
Washington, DC, May 3-5, 1988.
185. H.S. Baird, Feature identification for hybrid
structural/statistical pattern classification,
CVGIP 42, 1988, 318-333.
186. G. Wolberg, A syntactic omni-font character
recognition system, IJPRAI 1, 1987, 303-322.
187. K.J. Chen, K.K. Li, and Y.L. Chang, A system for
on-line recognition of Chinese characters, IJPRAI 2,
1988, 139-148.
188. P.N. Chen, Y.S. Chen, and W.H. Hsu, Stroke relation
coding-a new approach to the recognition of multi-
font printed Chinese characters, IJPRAI 2, 1988,
149-160.
21
189. P.S.P. Wang, Knowledge pattern representation of
Chinese characters, IJPRAI 2, 1988, 161-179.
190. T. Morishita, M. Ooura, and Y. Ishii, A Kanji
recognition method which detects writing errors,
IJPRAI 2, 1988, 181-195.
191. S.L. Xie and M. Suk, On machine recognition of
hand-printed Chinese characters by feature
relaxation, PR 21, 1988, 1-7.
192. I. Sekita, K. Toraichi, R. Mori, K. Yamamoto, and H.
Yamada, Feature extraction of handwritten Japanese
characters by spline functions for relaxation
matching, PR 21, 1988, 9-17.
193. L. Lam and C.Y. Suen, Structural classification and
relaxation matching of totally unconstrained
handwritten zip-code numbers, PR 21, 1988, 19-31.
194. R.M. Brown, T.H. Fay, and C.L. Walker, Handprinted
symbol recognition system, PR 21, 1988, 91-118.
195. G. Baptista and K.M. Kulkarni, A high accuracy
algorithm for recognition of handwritten numerals,
PR 21, 1988, 287-291.
196. T.S. El-Sheikh and R.M. Guindi, Computer recognition
of Arabic cursive scripts, PR 21, 1988, 293-302.
197. D.D. Kerrick and A.C. Bovik, Microprocessor-based
recognition of handprinted characters from a tablet
input, PR 21, 1988, 525-537.
198. S. Ray, A heuristic noise reduction algorithm
applied to handwritten numeric characters, PRL 7,
1988, 9-12.
199. W.H. Abdulla, A.O.M. Saleh, and A.H. Morad, A
preprocessing algorithm for hand-written character
recognition, PRL 7, 1988, 13-18.
200. Y. Yong, Handprinted Chinese character recognition
via neural networks, PRL 7, 1988, 19-25.
201. A. Oulamara and J. Duvernoy, An application of the
Hough transform to automatic recognition of Berber
characters, SP 14, 1988, 79-90.
22
202. T.S. El-Sheikh and R.M. Guindi, Automatic
recognition of isolated Arabic characters, SP 14,
1988, 177-184.
203. J.R. Ward and T. Kuklinski, A model for variability
effects in handprinting with implications for the
design of handwriting character recognition systems,
T-SMC 18, 1988, 438-451.
204. C.H. Leung, Y.S. Cheung, and Y.L. Wong, A
knowledge-based stroke-matching method for Chinese
character recognition, T-SMC 17, 1987, 993-1003.
205. K.H. Lee, K.B. Eom, and R.L. Kashyap, Character
recognition using attributed grammar, CVPR, 418-423.
206. J. Ohya, A. Shio, and S. Akamatsu, A relaxational
extracting method for character recognition in scene
images, CVPR, 424-429.
207. A. Kundu, Y. He, and P. Bahl, Recognition of
handwritten word: first and second order hidden
Markov model based approach, CVPR, 457-462.
208. M. Kimura, T. Ejima, H. Aso, H. Yashiro, N. Son, and
M. Suzuki, An intelligent character recognition
system with high accuracy and high speed by
integrating image-type and logical-type information
processings, ICPR, 38-40.
209. J.J. Hull, S.N. Srihari, E. Cohen, L. Kuan, P.
Cullen, and P. Palumbo, A blackboard-based approach
to handwritten ZIP code recognition, ICPR, 111-113.
210. G. Nagy, Chinese character recognition: a twenty-
five year retrospective, ICPR, 163-167.
211. J. Tsukumo and H. Tanaka, Classification of
handprinted Chinese characters using non-linear
normalization and correlation methods, ICPR,
168-171.
212. H. Yamada, K. Yamamoto, and T. Saito, A nonlinear
normalization method for handprinted Kanji character
recognition-line density equalization, ICPR,
172-175.
213. K. Banno, T. Kawamata, K. Kobayashi, and H. Nambu,
Text recognition system for Japanese documents,
ICPR, 176-180.
23
214. J. Zeng, T. Inoue, H. Sanadi, and Y. Tezuka, A data
structure suitable for representing the calligraphic
rules for Chinese character evaluation, ICPR,
181-183.
215. S. Holder and J. Dengler, Font- and sizeinvariant
character recognition with greyvalue image features,
ICPR, 252-254.
216. R. Plamondon and M. Parizeau, Signature verification
from position, velocity and acceleration signals: a
comparative study, ICPR, 260-265.
217. R. Sabourin and R. Plamondon, Segmentation of
handwritten signature images using the statistics of
directional data, ICPR, 282-285.
218. Z. Zhang, M. He, and C. Ge, A research on printed
Chinese character recognition based on stroke
features with optical/digital hybrid realization,
ICPR, 573-575.
219. (J. Du) and (H. Liu), Flexible recognition
algorithms and flexible OCR system, ICPR, 655-657.
220. Y.J. Liu and J.W. Tai, A structural approach to on-
line Chinese character recognition, ICPR, 808-810.
221. K. Wang, Y.Y. Tang, and C.Y. Suen, Multi-layer
projections for the classification of similar
Chinese characters, ICPR, 842-844.
222. P.C. Leveridge and C.G. Leedham, Experiments with an
n-tuple recogniser for fast ``first try''
recognition of unconstrained handwritten symbols,
ICPR, 905-907.
223. (W. Shu), (G.W. Cui), and (R.H. Zhao), An accurate
method for recognition of printed Chinese
characters, ICPR, 908-910.
224. (H. Dong), (Y. Wu), and (X. Ding), An ARG
representation for Chinese characters and a radical
extraction based on the representation, ICPR,
920-922.
225. C.C. Tappert, C.Y. Suen, and T. Wakahara, On-line
handwriting recognition-a survey, ICPR, 1123-1132.
24
226. T. Wakahara, On-line cursive script recognition
using local affine transform, ICPR, 1133-1137.
227. H. Murase, Online recognition of free-format
Japanese handwritings, ICPR, 1143-1147.
228. S.N. Srihari, C.H. Wang, P.W. Palumbo, and J.J.
Hull, Recognizing address blocks on mail pieces:
specialized tools and problem-solving architectures,
AI Magazine 8(4), 1987, 25-35, 38-40.
229. C.H. Wang and S.N. Srihari, A framework for object
recognition in a visually complex environment and
its application to locating address blocks on mail
pieces, IJCV 2, 1988, 125-151.
230. A. Goshtasby and R.W. Ehrich, Contextual word
recognition using probabilistic relaxation labeling,
PR 21, 1988, 455-462.
231. R.M.K. Sinha and B. Prasada, Visual text recognition
through contextual processing, PR 21, 1988, 463-479.
232. T. Gotoh, T. Toriu, S. Sasaki, and M. Yoshida, A
flexible vision-based algorithm for a book sorting
system, T-PAMI 10, 1988, 393-399.
233. L.A. Fletcher and R. Kasturi, A robust algorithm for
text string separation from mixed text/graphics
images, T-PAMI 10, 1988, 910-918.
234. M. Ammar, Y. Yoshida, and T. Fukumura, Description
of signature images and its application to their
classification, ICPR, 23-26.
235. A.C. Downton and C.G. Leedham, Pre-processing of
envelope images for optical character recognition,
ICPR, 27-31.
236. Z.X. Wang and C. Faure, Structural analysis of
handwritten mathematical expressions, ICPR, 32-34.
237. I. Yoshimura and M. Yoshimura, Writer identification
based on the arc pattern transform, ICPR, 35-37.
238. H. Tanaka and A. Kogawara, High speed string edit
methods using hierarchical files and hashing
technique, ICPR, 334-336.
25
239. C.H. Wang, P.W. Palumbo, and S.N. Srihari, Object
recognition in visually complex environments: an
architecture for locating address blocks on mail
pieces, ICPR, 365-367.
240. K. Kise, K. Yamada, N. Tanaka, N. Babaguchi, and Y.
Tezuka, Visiting card understanding system, ICPR,
425-429.
241. G. Ciardello, G. Scafuro, M.T. Degrandi, M.R. Spada,
and M.P. Roccotelli, An experimental system for
office document handling and text recognition, ICPR,
739-743.
242. Y. Tsuji, Document image analysis for generating
syntactic structure description, ICPR, 744-747.
243. (Y. Dai), (N. Zheng), (X. Zhang), and (G. Xuan),
Automatic recognition of province name on the
license plate of moving vehicle, ICPR, 927-929.
244. M. Ohkura and M. Shiono, On the intra-category
clustering to make multidictionary patterns for
multidictionary templet matching method, ICPR,
1029-1031.
245. A.C. Downton and D. Guillevic, Syntactic and
contextual post-processing of handwritten addresses
for optical character recognition, ICPR, 1072-1076.
246. C.S. Fahn, J.F. Wang, and J.Y. Lee, A topology-based
component extractor for understanding electronic
circuit diagrams, CVGIP 44, 1988, 119-138.
247. H. Freeman, An expert system for the automatic
placement of names on a geographic map, IS 45, 1988,
367-378.
248. J.W. Roach and J.E. Tatem, Using domain knowledge in
low-level visual processing to interpret handwritten
music: an experiment, PR 21, 1988, 33-44.
249. M.T. Musavi, M.V. Shirvaikar, E. Ramanathan, and
A.R. Nekovei, A vision based method to automate map
processing, PR 21, 1988, 319-326.
250. A. Okazaki, T. Kondo, K. Mori, S. Tsunekawa, and E.
Kawamoto, An automatic circuit diagram reader with
loop-structure-based symbol recognition, T-PAMI 10,
1988, 331-341.
26
251. M. Tanaka and T. Ichikawa, A visual user interface
for map information retrieval based on semantic
significance, T-SE 14, 1988, 666-670.
252. R. Kasturi and J. Alemany, Information extraction
from images of paper-based maps, T-SE 14, 1988,
671-675.
253. D. Benjamin, P. Forgues, E. Gulko, J.B. Massicotte,
and C. Meubus, The use of high-level knowledge for
enhanced entry of engineering drawings, ICPR,
119-129.
254. R. Kasturi, S.T. Bow, J. Gattiker, J. Shah, W. El-
Masri, U. Mokate, and S. Honnenahalli, A system for
recognition and description of graphics, ICPR,
255-259.
255. W. Lu, Y. Ohsawa, and M. Sakauchi, A database
capture system for mechanical drawings using an
efficient multi-dimensional graphical data
structure, ICPR, 266-269.
256. T. Nagao, T. Agui, and M. Nakajima, An automatic
road vector extraction method from maps, ICPR,
585-587.
257. G. Maderlechner and O. Jeppsson, Representation,
classification and modelling of graphs for efficient
pattern recognition in line images, ICPR, 678-680.
258. H. Kojima and T. Toida, On-line hand-drawn line-
figure recognition and its application, ICPR,
1138-1142.
C.2. Biomedical applications
259. S. Collins and D. Skorton, eds., Cardiac Imaging and
Image Processing, McGraw-Hill, New York, 1986.
260. R. Guzzardi, ed., Physics and Engineering of Medical
Imaging (Proceedings of a NATO Advanced Study
Institute, Maratea, Italy, September 23-October 5,
1984), Nijhoff, The Netherlands, 1987.
261. C.N. deGraaf and M.A. Viergever, eds., Information
Processing in Medical Imaging (Proceedings of the
Tenth International Conference, Utrecht, The
Netherlands, June 22-26, 1987), Plenum Press, New
York, 1988.
27
262. R.H. Schneider and S.J. Dwyer III, eds., Medical
Imaging II (Newport Beach, CA, January 31-February
5, 1988), Proc. SPIE 914.
263. International Conference on 3-D Image Processing in
Microscopy-3-D Imaging, 3-D Reconstruction, 3-D
Measurement, Geissen, FRG, March 10-11, 1988.
264. The Lyon Conference-Medical Imaging and Expert
Systems Applied to Medicine, Lyon, France, March
10-12, 1988.
265. H. Niemann, ed., Special Issue on Expert Systems in
Medical Imaging, PRL 8 (2), September 1988, 63-139.
266. T.C. Pilkington, R. Plonsey, J.T. Mortimer, and W.
Welkowitz, eds., Special Issue on Emerging
Electromedical Technologies, P-IEEE 76 (9),
September 1988, 1059-1246.
267. H. Buxton and N. Walker, Query based visual
analysis: spatio-temporal reasoning in computer
vision, IVC 6, 1988, 247-254.
268. R.A. Robb, Multidimensional biomedical image display
and analysis in the biotechnology computer resource
at the Mayo Clinic, MVA 1, 1988, 75-96.
269. O. Nalcioglu, W.W. Roeck, T. Reese, L.Z. Qu, J.M.
Tobis, and W.L. Henry, Background subtraction
algorithms for videodensitometric quantification of
coronary stenosis, MVA 1, 1988, 155-162.
270. F. Greensite, Measure theoretic imaging, with an
example employing magnetic resonance input, MVA 1,
1988, 169-174.
271. S. Tamura, Y. Okamoto, and K. Yanashima, Zero-
crossing interval correction in tracing eye-fundus
blood vessels, PR 21, 1988, 227-233.
272. B.B. Chaudhuri, K. Rodenacker, and G. Burger,
Characterization and featuring of histological
section images, PRL 7, 1988, 245-252.
273. S. Dellepiane, C. Regazzoni, S.B. Serpico, and G.
Vernazza, Extension of IBIS for 3D organ recognition
in NMR multislices, PRL 8, 1988, 65-72.
28
274. W. Menhardt and K.H. Schmidt, Computer vision on
magnetic resonance images, PRL 8, 1988, 73-85.
275. G. Sagerer, Automatic interpretation of medical
image sequences, PRL 8, 1988, 87-102.
276. E. Backer, J.J. Gerbrands, J.H.C. Reiber, A.E.M.
Reijs, W. Krijgsman, and H.J. Van Den Herik,
Modelling uncertainty in ESATS by classification
inference, PRL 8, 1988, 103-112.
277. C. Smets, G. Verbeeck, P. Suetens, and A.
Oosterlinck, A knowledge-based system for the
delineation of blood vessels on subtraction
angiograms, PRL 8, 1988, 113-121.
278. J.Y. Catros and D. Mischler, An artificial
intelligence approach for medical picture analysis,
PRL 8, 1988, 123-130.
279. O. Lebel, ARCHI: an expert system for biological
objects recognition, PRL 8, 1988, 131-139.
280. F. Pernus, The Delaunay triangulation and the shape
hull as tools in muscle fibre analysis, PRL 8, 1988,
197-202.
281. B. Chalmond, Individual hip prosthesis design from
CT images, PRL 8, 1988, 203-208.
282. T.N. Pappas and J.S. Lim, A new method for
estimation of coronary artery dimensions in
angiograms, T-ASSP 36, 1988, 1501-1513.
283. G.L. Vernazza, S.B. Serpico, and S.G. Dellepiane, A
knowledge-based system for biomedical image
processing and recognition, T-CAS 34, 1987,
1399-1416.
284. H. Yamada, C. Merritt, and T. Kasvand, Recognition
of kidney glomerulus by dynamic programming matching
method, T-PAMI 10, 1988, 731-737.
285. M. Unser, H. Van Hamme, P. DeMuynck, E. Van
Denhaute, and J. Cornelis, Karhunen-Loeve analysis
of dynamic sequences of thermographic images for
early breast cancer detection, CVPR, 592-596.
286. S. Towers and R. Baldock, Application of a
knowledge-based system to the interpretation of
ultrasound images, ICPR, 107-110.
29
287. M. Thonnat and M.H. Gandelin, An expert system for
the automatic classification and description of
zooplanktons from monocular images, ICPR, 114-118.
288. G. Brugal, Pattern recognition, image processing,
related data analysis and expert systems integrated
in medical microscopy, ICPR, 286-293.
289. J. Arnqvist, L. Hellgren, and J. Vincent,
Semiautomatic classification of secondary healing
ulcers in multispectral images, ICPR, 459-461.
290. X. Chen, J.I. Hasegawa, and J.I. Toriwaki,
Quantitative diagnosis of pneumoconiosis based on
recognition of small rounded opacities in chest x-
ray images, ICPR, 462-464.
291. E. Hartfeld, G. Zajicek, G. Kenet, and D. Schwartz-
Arad, Measuring hepatocytes reaction to
dimethylnitrosamine using computerized microscope,
ICPR, 465-467.
292. N. Fan, C.C. Li, and F. Fuchs, Myofibril image
processing for studying sarcomere dynamics, ICPR,
468-472.
293. R.S. Anbalagan, G. Hu, and A.K. Jain, A segmentation
and object extraction algorithm with linear memory
and time constraints, ICPR, 596-600.
294. L. He and Z. Choi, Automatic detection of sister
chromatid exchange, ICPR, 652-654.
295. S.X. Li, J.P. Liu, and Y.M. Huang, Schistosome egg
recognition using the top-down search strategy,
ICPR, 798-800.
296. A. Haouari and J.M. Chassery, A two-pass labeling
algorithm for automatic schistosome egg detection
and counting, ICPR, 827-829.
297. (X.Q. Wu), (J.R. Liu), and (Q.Q. Wu), The processing
and recognition of x-rays of spine tumor, ICPR,
914-916.
298. Y. Kita and Y. Shirai, Extraction of accurate
stomach contour from X-ray images of barium filled
stomachs, ICPR, 917-919.
30
299. J.J. Sychra, D.G. Pavel, and E. Olea, Classification
images of cardiac wall motion abnormalities, ICPR,
1004-1008.
300. N. Harpaz, U. Shani, and U. Dinar, Towards the
automatic reconstruction of a 3-D animated model for
the coronary tree from biplane angiograms, ICPR,
1012-1014.
301. M.W. Vannier, C.M. Speidel, D.L. Rickman, L.D.
Schertz, L.R. Baker, C.F. Hildebolt, C.J. Offutt,
J.A. Balko, R.L. Butterfield, and M.H. Gado,
Validation of magnetic resonance imaging (MRI)
multispectral tissue classification, ICPR,
1182-1186.
302. M.B. Merickel, C.S. Carman, W.K. Watterson, J.R.
Brookeman, and C.R. Ayers, Multispectral pattern
recognition of MR imagery for the noninvasive
analysis of atherosclerosis, ICPR, 1192-1197.
303. H. Suzuki and J.I. Toriwaki, Knowledge-guided
automatic thresholding for 3-dimensional display of
head MRI images, ICPR, 1210-1212.
304. N.H. Kim, S.J. Aggarwal, A.C. Bovik, and K.R.
Diller, Computing shape changes in SOLANUM tuberosa
slices viewed through a stereo microscope, ICPR,
1213-1215.
305. A. Dipanda, M. Neveu, D. Plantamp, and L. Dusserre,
Segmentation of echocardiographic images, ICPR,
1255-1259.
306. K.H. Hohne, M. Bomans, A. Pommert, M. Riemer, and U.
Tiede, 3D-segmentation and display of tomographic
imagery, ICPR, 1271-1276.
307. K. Kitamura, J.M. Tobis, and J. Sklansky, Biplane
analysis of atheromatous coronary arteries, ICPR,
1277-1281.
308. T. Yasuda, S. Yokoi, and J.I. Toriwaki, A simulation
system for brain and plastic surgeries using CT
images, ICPR, 1282-1286.
31
C.3. Industrial applications
309. M. Ollus, ed., Digital Image Processing in
Industrial Application (Proceedings of an IFAC
Workshop, Espoo, Finland, June 10-12, 1986), IFAC,
1987.
310. RoViSec-7, Seventh International Conference on Robot
Vision and Sensory Controls, Zurich, Switzerland,
February 2-4, 1988.
311. Second Annual Machine Vision Workshop, New
Brunswick, NJ, April 25-26, 1988.
312. Vision '88 (Society of Manufacturing Engineers),
Detroit, MI, June 5-9, 1988.
313. W. Wiitanen, ed., Piece Recognition and Image
processing (SPIE), Dearborn, MI, June 26-30, 1988.
314. Vision '88, International Exhibition on Applied
Vision Systems, Sindelfingen, FRG, June 28-30, 1988.
315. M.J.W. Chen, ed., Automated Inspection and High
Speed Vision Architectures II (Cambridge, MA,
November 10-11, 1988), Proc. SPIE 1004.
316. D.J. Svetkoff, ed., Optics, Illumination, and Image
Sensing for Machine Vision III (Cambridge, MA,
November 8-9, 1988), Proc. SPIE 1005.
317. E.L. Hall, D.P. Casasent, and K.J. Stout, eds.,
Expert Robots for Industrial Use (Cambridge, MA,
November 7-8, 1988), Proc. SPIE 1008.
318. A. Browne and L. Norton-Wayne, Vision and
Information Processing for Automation, Plenum Press,
New York, 1986.
319. R.L. Andersson, A Robot Ping-Pong Player, MIT Press,
Cambridge, MA, 1988.
320. J.L. Mundy, Industrial machine vision-is it
practical?, MVAAS, 109-148.
321. M.A. Lavin, Industrial machine vision: Where are
we? What do we need? How do we get it?, MVAAS,
161-185.
32
322. J. Sklansky, Bottlenecks to effective application of
machine vision-a discussion, MVAAS, 187-192.
323. H. Freeman, Directions for future research-a panel
discussion, MVAAS, 299-309.
324. T.C. Hsia, ed., International Journal of Robotics
and Automation (Acta Press), 1986ff.
325. S.G. Tzafestas, ed., Journal of Intelligent and
Robotic Systems-Theory and Applications (Kluwer),
1988ff.
326. R.M. Haralick, guest ed., Special Issue on Machine
Vision Mensuration, CVGIP 40 (3), December 1987,
271-387.
327. J.L.C. Sanz, guest ed., Special Issue on industrial
Machine Vision and Computer Vision Technology, T-
PAMI 10 (1 and 3), January and May, 1988, 1-125 and
298-416.
328. R.T. Chin, Automated visual inspection: 1981 to
1987, CVGIP 41, 1988, 346-381.
329. W.E. Blanz, J.L.C. Sanz, and E.B. Hinkle, Image
analysis methods for solder-ball inspection in
integrated circuit manufacturing, J-RA 4, 1988,
129-139.
330. C.B. Malloch, W.I. Kwak, and L.A. Gerhardt, A class
of adaptive model- and object-driven nonuniform
sampling methods for 3-D inspection, MVA 1, 1988,
97-114.
331. M. Ando and T. Inagaki, Automatic optical inspection
of plated through-holes for ultrahigh density
printed wiring boards, MVA 1, 1988, 175-181.
332. B.E. Dom, V.H. Brecher, R. Bonner, J.S. Batchelder,
and R.S. Jaffe, The P300: a system for automatic
pattern wafer inspection, MVA 1, 1988, 205-221.
333. S. Simon and J.P. Rogala, Model-based prediction-
verification scheme for real-time inspection, PRL 7,
1988, 305-311.
334. H. Yoda, Y. Ohuchi, Y. Taniguchi, and M. Ejiri, An
automatic wafer inspection system using pipelined
image processing techniques,
T-PAMI 10, 1988, 4-16.
33
335. H.K. Nishihara and P.A. Crossley, Measuring
photolithographic overlay accuracy and critical
dimensions by correlating binarized Laplacian of
Gaussian convolutions,
T-PAMI 10, 1988, 17-30.
336. S.L. Bartlett, P.J. Besl, C.L. Cole, R. Jain, D.
Mukherjee, and K.D. Skifstad, Automatic solder joint
inspection, T-PAMI 10, 1988, 31-43.
337. A.M. Darwish and A.K. Jain, A rule based approach
for visual pattern inspection, T-PAMI 10, 1988,
56-68.
338. Y. Hara, H. Doi, K. Karasaki, and T. Iida, A system
for PCB automated inspection using fluorescent
light, T-PAMI 10, 1988, 69-78.
339. H. Boerner and H. Strecker, Automated X-ray
inspection of aluminum castings, T-PAMI 10, 1988,
79-91.
340. D.B. Shu, C.C. Li, J.F. Mancuso, and Y.N. Sun, A
line extraction method for automated SEM inspection
of VLSI resist, T-PAMI 10, 1988, 117-120.
341. D.W. Capson and S.K. Eng, A tiered-color
illumination approach for machine inspection of
solder joints, T-PAMI 10, 1988, 387-393.
342. Q.Z. Ye and P.E. Danielsson, Inspection of printed
circuit boards by connectivity preserving shrinking,
T-PAMI 10, 1988, 737-742.
343. J.L.C. Sanz and D. Petkovic, Machine vision
algorithms for automated inspection of thin-film
disk heads, T-PAMI 10, 1988, 830-848.
344. G.A. Dainis III and M.O. Ward, Rule-based inspection
of leadframes, CVPR, 580-585.
345. H. Nan, M.G. Abbott, and R.J. Beattie, Approaches to
low level image processing for vision guided seam
tracking systems, ICPR, 601-603.
346. G. Odawara, T. Kurokawa, Y. Tamiya, and T. Fujii, An
integrated visual system for solder inspection,
ICPR, 663-665.
34
347. W. Jian and Y. Li, Evaluation of yarn regularity
using computer vision, ICPR, 854-856.
348. F. Avnaim and J.D. Boissonnat, A geometric approach
to inspection, ICPR, 891-893.
349. H. Maliniemi, H. Ailisto, and H. Hakalahti, Vision
system for turbine inspection, ICPR, 1202-1206.
350. D. Partridge, V. Johnston, and P. Lopez, Experiments
with a cognitive industrial robot, IJMMS 27, 1987,
435-448.
351. P. Rummel and P. Kollensperger, GSS-a fast, model-
based vision system for workpiece recognition,
IJPRAI 2, 1988, 543-556.
352. S.B. Skaar, W.H. Brockman, and R. Hanson, Camera-
space manipulation, IJRR 6(4), 1987, 20-32.
353. J. Porrill, S.B. Pollard, T.P. Pridmore, J.B. Bowen,
J.E.W. Mayhew, and J.P. Frisby, TINA: a 3D vision
system for pick and place, IVC 6, 1988, 91-99.
354. L.E. Weiss, A.C. Sanderson, and C.P. Neuman, Dynamic
sensor-based control of robots with visual feedback,
J-RA 3, 1987, 404-417.
355. H.F. Durrant-Whyte, Uncertain geometry in robotics,
J-RA 4, 1988, 23-31.
356. R.M. Lougheed and R.E. Sampson, 3-D imaging systems
and high-speed processing for robot control, MVA 1,
1988, 41-57.
357. A. Ikonomopoulos, N. Ghani, G. Doemens, E. Kutzer,
and N. Roth, Image processing and analysis in
multisensory systems, T-CAS 34, 1987, 1417-1431.
358. D. Nitzan, Three-dimensional vision structure for
robot applications,
T-PAMI 10, 1988, 291-309.
359. S.J. Gordon and W.P. Seering, Real-time part
position sensing,
T-PAMI 10, 1988, 374-386.
35
C.4. Robot navigation
360. R. Miller, Automated Guided Vehicles and Automated
Manufacturing, SME, 1987.
361. W.J. Wolfe, ed., Mobile Robots III (Cambridge, MA,
November 10-11, 1988), Proc. SPIE 1007.
362. A. Kak, guest ed., Spatial Reasoning, AI Magazine 9
(2), Summer 1988, 23-104.
363. W.K. Yeap, Towards a computational theory of
cognitive maps, AI 34, 1988, 297-360.
364. B.J. Kuipers and T.S. Levitt, Navigation and mapping
in large-scale space, AI Magazine 9(2), 1988, 25-43.
365. H.P. Moravec, Sensor fusion in certainty grids for
mobile robots, AI Magazine 9(2), 1988, 61-74.
366. K.M. Andress and A.C. Kak, Evidence accumulation and
flow of control in a hierarchical spatial reasoning
system, AI Magazine 9(2), 1988, 75-94.
367. G. Retz-Schmidt, Various views on spatial
prepositions, AI Magazine 9(2), 1988, 95-105.
368. K. Sugihara, Some location properties for robot
navigation using a single camera, CVGIP 42, 1988,
112-129.
369. S. Vasudevan, R.L. Cannon, J.C. Bezdek, and W.L.
Cameron, Heuristics for intermediate level road
finding algorithms, CVGIP 44, 1988, 175-190.
370. E. Freund and H. Hoyer, Real-time pathfinding in
multirobot systems including obstacle avoidance,
IJRR 7(1), 1988, 42-70.
371. T. Takeuchi and Y. Nagai, Fuzzy control of a mobile
robot for obstacle avoidance, IS 45, 1988, 231-248.
372. M.R. Kabuka and A.E. Arenas, Position verification
of a mobile robot using standard pattern, J-RA 3,
1987, 505-516.
373. K. Mandel and N.A. Duffie, On-line compensation of
mobile robot docking errors, J-RA 3, 1987, 591-598.
36
374. B.J. Oommen, S.S. Iyengar, N.S.V. Rao, and R.L.
Kashyap, Robot navigation in unknown terrain using
learned visibility graphs. Part I: The disjoint
convex obstacle case, J-RA 3, 1987, 672-681.
375. T. Nagata, Multirobot plan generation in a
continuous domain: planning by use of plan graph
and avoiding collisions among robots,
J-RA 4, 1988, 2-13.
376. J. Borenstein and Y. Koren, Obstacle avoidance with
ultrasonic sensors,
J-RA 4, 1988, 213-218.
377. C. Isik and A.M. Meystel, Pilot level of a
hierarchical controller for an unmanned mobile
robot, J-RA 4, 1988, 241-255.
378. Y. Kanayama and S. Yuta, Vehicle path specification
by a sequence of straight lines, J-RA 4, 1988,
265-276.
379. S.H. Suh and K.G. Shin, A variational dynamic
programming approach to robot path planning with a
distance-safety criterion, J-RA 4, 1988, 334-349.
380. J. LeMoigne, Domain-dependent reasoning for visual
navigation of roadways, J-RA 4, 1988, 419-427.
381. N.S.V. Rao, S.S. Iyengar, B.J. Oommen, and R.L.
Kashyap, On terrain model acquisition by a point
robot amidst polyhedral obstacles, J-RA 4, 1988,
450-455.
382. D.D. Grossman, Traffic control of multiple robot
vehicles, J-RA 4, 1988, 491-497.
383. U.K. Sharma and L.S. Davis, Road boundary detection
in range imagery for an autonomous robot, J-RA 4,
1988, 515-523.
384. K.C. Hung, C.N. Shyi, J.Y. Lee, and T.C. Lee, Robot
location determination in a complex environment by
multiple marks, PR 21, 1988, 567-580.
385. M.A. Turk, D.G. Morgenthaler, K.D. Gremban, and M.
Marra, VITS-a vision system for autonomous land
vehicle navigation, T-PAMI 10, 1988, 342-361.
37
386. C. Thorpe, M.H. Hebert, T. Kanade, and S.A. Shafer,
Vision and navigation for the Carnegie-Mellon
Navlab, T-PAMI 10, 1988, 362-373.
387. D. Kuan, G. Phipps, and A.C. Hsueh, Autonomous
robotic vehicle road following, T-PAMI 10, 1988,
648-658.
388. K.C. Drake, E.S. McVey, and R.M. In~igo, Sensor roll
angle error for a mobile robot using a navigation
line, T-PAMI 10, 1988, 727-731.
389. S. Ishikawa, H. Kuwamoto, and S. Ozawa, Visual
navigation of an autonomous vehicle using white line
recognition, T-PAMI 10, 1988, 743-749.
390. D.T. Lawton, T.S. Levitt, and P. Gelband, Knowledge
based vision for terrestrial robots, IUW, 103-110.
391. T.S. Levitt, D.T. Lawton, D.M. Chelberg, K.V.
Koitzsch, and J.W. Dye, Qualitative navigation II,
IUW, 319-326.
392. D.M. Keirsey, D.W. Payton, and J.K. Rosenblatt,
Autonomous navigation in cross-country terrain, IUW,
411-416.
393. K. Price and I. Pavlin, Integration effort in
knowledge-based vision technicques for the
Autonomous Land Vehicle Program, IUW, 417-422.
394. M.J. Daily, J.G. Harris, and K. Reiser, An
operational perception system for cross-country
navigation, IUW, 568-575.
395. M. Hebert and T. Kanade, 3-D vision for outdoor
navigation, IUW, 593-601.
396. D.C. Tseng, Z. Chen, and J.Y. Lin, An effective
method for determining the robot position, CVPR,
76-81.
397. L. Paquette, R. Stampfler, Y. Dube, and M. Roussel,
A new approach to robot orientation by orthogonal
lines, CVPR, 89-92.
398. M.J. Daily, J.G. Harris, and K. Reiser, An
operational perception system for cross-country
navigation, CVPR, 794-802.
38
399. E.D. Dickmanns, An integrated approach to feature
based dynamic vision, CVPR, 820-825.
400. S.J. Dickinson and L.S. Davis, An expert vision
system for autonomous land vehicle road following,
CVPR, 826-831.
401. Q. Zhu, Structural pyramids for representing and
locating moving obstacles in visual guidance of
navigation, CVPR, 832-837.
402. M. Asada, Y. Fukui, and S. Tsuji, Representing a
global map for a mobile robot with relational local
maps from sensory data, ICPR, 520-524.
403. H. Mori, H. Ishiguro, S. Kotani, S. Yasutomi, and Y.
Chino, A mobile robot strategy applied to Harunobu-
4, ICPR, 525-530.
404. R. Kories, N. Rehfeld, and G. Zimmermann, Towards
autonomous convoy driving: recognizing the starting
vehicle in front, ICPR, 531-535.
405. Q. Chen, M. Asada, and S. Tsuji, A new 2-D world
representation system for mobile robots, ICPR,
604-606.
406. J.Y. Zheng, M. Asada, and S. Tsuji, Color-based
panoramic representation of outdoor environment for
a mobile robot, ICPR, 801-803.
407. R. Deyo, J.A. Briggs, and P. Doenges, Getting
graphics in gear: graphics and dynamics in driving
simulation, SIGGRAPH, 317-326.
C.5. Remote sensing, reconnaissance
408. W.E. Robbins, ed., Three-Dimensional Imaging and
Remote Sensing Imaging (Los Angeles, CA, January
14-15, 1988), Proc. SPIE 902.
409. P.N. Slater, ed., Recent Advances in Sensors,
Radiometry, and Data Processing for Remote Sensing
(Orlando, FL, April 6-8, 1988), Proc. SPIE 924.
410. M.R. Weathersby, ed., Multispectral Image Processing
and Enhancement (Orlando, FL, April 6-8, 1988),
Proc. SPIE 933.
39
411. Third International Symposium on Spatial Data
Handling, Sydney, Australia, August 16-20, 1988.
412. A. Huertas and R. Nevatia, Detecting buildings in
aerial images, CVGIP 41, 1988, 131-152.
413. G.A. De Biase, Trends in astronomical image
processing, CVGIP 43, 1988, 347-360.
414. D.M. McKeown Jr., Building knowledge-based systems
for detecting man-made structures from remotely
sensed imagery, Phil. Trans. R. Soc. Lond. A 324,
1988, 423-435.
415. T. Matsuyama, Knowledge-based aerial image
understanding systems and expert systems for image
processing, T-GRS 25, 1987, 305-316.
416. D.M. McKeown Jr., The role of artificial
intelligence in the integration of remotely sensed
data with geographic information systems,
T-GRS 25, 1987, 330-348.
417. D.M. McKeown Jr. and J.L. Denlinger, Cooperative
methods for road tracking in aerial imagery,
IUW, 327-341.
418. T.M. Silberberg, Multiresolution aerial image
interpretation, IUW, 505-511.
419. R. Mohan and R. Nevatia, Perceptual grouping for the
detection and description of structures in aerial
images, IUW, 512-526.
420. A.J. Hanson and L.H. Quam, Overview of the SRI
cartographic modeling environment, IUW, 576-582.
421. D. Harwood, R. Prasannappa, and L. Davis,
Preliminary design of a programmed picture logic,
IUW, 745-755.
422. C. Smyrniotis and K. Dutta, A knowledge-based system
for recognizing man-made objects in aerial images,
CVPR, 111-117.
423. A. Meisels and S. Bergman, Finding objects in aerial
photographs: a rule-based low level system, CVPR,
118-122.
40
424. D.M. McKeown Jr. and J.L. Denlinger, Cooperative
methods for road tracking in aerial imagery, CVPR,
662-672.
425. Z. Aviad and P. Carnine Jr., Road finding for road-
network extraction, CVPR, 814-819.
426. A.D. Kelley, M.C. Malin, and G.M. Nielson, Terrain
simulation using a model of stream erosion,
SIGGRAPH, 263-268.
427. T.V. Papathomas, J.A. Schiavone, and B. Julesz,
Applications of computer graphics to the
visualization of meteorological data, SIGGRAPH,
327-334.
428. M. Berthod and M.A. Serendero, Extraction of thin
networks on satellite imagery, ICPR, 456-458.
429. S. Dellepiane, S.B. Serpico, and G. Vernazza,
Analysis and classification of SAR images by a
knowledge-based approach, ICPR, 1207-1209.
430. J. Chen, D.S. Simonett, and G. Sun, Computer-aided
interpretation of forest radar images, ICPR,
1245-1249.
431. D. Kuan, H. Shariat, K. Dutta, and P. Ransil, A
constraint-based system for interpretation of aerial
imagery, ICCV, 601-609.
432. First National Symposium on Sensor Fusion, Orlando,
FL, April 5-8, 1988.
433. P.A. Henkel, F.R. LaGesse, and W.W. Schurter,
Airborne Reconnaissance XII (San Diego, CA, August
16-17, 1988), Proc. SPIE 979.
434. Pattern Recognition for Advanced Missile Systems,
Huntsville, AL, November 14-15, 1988.
435. B. Bhanu and D. Panda, Qualitative reasoning and
modeling for robust target tracking and recognition
from a mobile platform, IUW, 96-102.
436. N.R. Corby, J.L. Mundy, R.A. Vrobel, A.J. Hanson,
L.H. Quam, G.B. Smith, and T.M. Strat, PACE-an
environment for intelligence analysis, IUW, 342-350.
41
437. H. Nasr and B. Bhanu, Dynamic model matching for
target recognition from a mobile platform, IUW,
527-536.
438. B. Bhanu and J.C. Ming, TRIPLE: a multi-strategy
machine learning approach to target recognition,
IUW, 537-547.
439. (X. Shen), (Y. Wang), (Z. Li), and (M. Hu), A
dynamic target recognition system, ICPR, 901-904.
C.6. Miscellaneous
440. O. Dahl and L. Nielsen, Ash line control, MVA 1,
1988, 163-168.
441. S. Tamura and S. Kawasaki, Recognition of sign
language motion images, PR 21, 1988, 343-353.
442. N.D. Duffy and J.F.S. Yau, Facial image
reconstruction and manipulation from measurements
obtained using a structured lighting technique,
PRL 7, 1988, 239-243.
443. W.N. Lie and Y.C. Chen, Moving object detection,
inspection and counting using image stripe analysis,
PRL 8, 1988, 189-196.
444. C. Pieralli and G. Tribillon, Optical profilometry
and three-dimensional digital image processing as a
tool for the prevision of cavitation erosion, SP 14,
1988, 69-78.
445. D. Tost and X. Pueyo, Human body animation: a
survey, VC 3, 1988, 254-264.
446. K. Komatsu, Human skin model capable of natural
shape variation, VC 3, 1988, 265-271.
447. M. Nahas, H. Huitric, and M. Saintourens, Animation
of a B-spline figure, VC 3, 1988, 272-276.
448. D.R. Hill, A. Pearce, and B. Wyvill, Animating
speech: an automated approach using speech
synthesised by rules, VC 3, 1988, 277-289.
449. N. Magnenat-Thalmann, E. Primeau, and D. Thalmann,
Abstract muscle action procedures for human face
animation, VC 3, 1988, 290-297.
42
450. P. Prusinkiewicz, A. Lindenmayer, and J. Hanan,
Developmental models of herbaceous plants for
computer imagery purposes, SIGGRAPH, 141-150.
451. P. de Reffye, C. Edelin, J. Francon, M. Jaeger, and
C. Puech, Plant models faithful to botanical
structure and development, SIGGRAPH, 151-158.
452. G.S.P. Miller, The motion dynamics of snakes and
worms, SIGGRAPH, 169-178.
453. D.E. Thompson, W.L. Buford Jr., L.M. Myers, D.J.
Giurintano, and J.A. Brewer III, A hand biomechanics
workstation, SIGGRAPH, 335-343.
454. P.E. Danielsson and Q.Z. Ye, Rotation-invariant
operators applied to enhancement of fingerprints,
ICPR, 329-333.
455. M. Bruynooghe, An automatic pattern recognition
method for the processing of long slit spectral
images, ICPR, 751-754.
456. H. Jarosz and J.P. Crettez, Adaptive size for
operators in line image processing, ICPR, 814-817.
457. P. Morasso and V. Tagliasco, eds., Human Movement
Understanding, North-Holland, Amsterdam, 1986.
458. V. Bruce, Recognising Faces, Erlbaum, Hillsdale, NJ,
1988.
459. T.R. Alley, Social and Applied Aspects of Perceiving
Faces, Erlbaum, Hillsdale, NJ, 1988.
D. Architectures
D.1. General references
460. L. Uhr, ed., Parallel Computer Vision, Academic
Press, Boston, MA, 1987.
461. J. Page, ed., Parallel Architectures and Computer
Vision (Proceedings of a Workshop, Oxford, UK, March
30-31, 1987), Clarendon Press, Oxford, UK, 1988.
462. S. Levialdi, ed., Multicomputer Vision (Proceedings
of the 8th Workshop on Multicomputers, Rome, Italy,
June 2-5, 1987), Academic Press, London, 1988.
43
463. L.M. Delves and R. Wait, guest eds., Proceedings of
the International Conference on Vector and Parallel
Processors in Computational Science III (Liverpool,
UK, August 25-28, 1987), PC 8 (1-3), October 1988,
1-420.
464. D.P. Casasent, ed., High Speed Computing (Los
Angeles, CA, January 11-12, 1988), Proc. SPIE 880.
465. Parallel Processing for Computer Vision and Display,
Leeds, UK, January 12-15, 1988.
466. Third Conference on Hypercube Concurrent Computers
and Applications, Pasadena, CA, January 19-20, 1988.
(See also R. Chamberlain, Third Conference on
Hypercube Concurrent Computers and Applications, PC
7, 1988, 257-258.
467. International Conference on Parallel Processing,
University Park, PA, August 15-19, 1988.
468. L.H. Jamieson, D.B. Gannon, and R.J. Douglass, eds.,
The Characterization of Parallel Algorithms, MIT
Press, Cambridge, MA, 1987.
469. J.S. Kowalik, ed., Parallel Computation and
Computers for Artificial Intelligence, Kluwer,
Boston, MA, 1988.
470. M.J. Quinn, Designing Efficient Algorithms for
Parallel Computers, McGraw-Hill, New York, 1987.
471. B. Soucek, Brain-Like and Massively Parallel
Computers, Wiley, New York, 1988.
472. S. Lakshmivarahan, guest ed., Special Issue:
Parallel Processing/Part II, IS 44 (1), February
1988, 1-90.
473. J.S. Vitter, guest ed., Special Issue-Parallel and
Distributed Computing Part II, Algorithmica 3 (3),
1988, 289-472.
474. S. Sahni, guest ed., Special Issue on Parallel
Architectures and Algorithms, JPDC 5 (4), August
1988, 331-456.
475. C.L. Liu, A.H. Sameh, and N.A. Lynch, guest eds.,
Special Issue on Parallel and Distributed
Algorithms, T-COMP 37 (12), December 1988,
1485-1676.
44
D.2. Meshes, etc.
476. Frontiers 88, Second Symposium on the Frontiers of
Massively Parallel Computation, Fairfax, VA, October
10-12, 1988.
477. Parcella 88, Fourth International Workshop on
Parallel Processing by Cellular Automata and Arrays,
Berlin, GDR, October 17-21, 1988.
478. M.J.B. Duff and T.J. Fountain, eds., Cellular Logic
Image Processing, Academic Press, London, 1986.
479. T.J. Fountain, Processor Arrays-Architecture and
Applications, Academic Press, London, 1987.
480. R. Miller and Q.F. Stout, Parallel Algorithms for
Regular Architectures, MIT Press, Cambridge, MA,
1988.
481. J.M. Marberg and E. Gafni, Sorting in constant
number of row and column phases on a mesh,
Algorithmica 3, 1988, 561-572.
482. L.W. Tucker and G.G. Robertson, Architecture and
applications of the Connection Machine,
Computer 21(8), 1988, 26-38.
483. T.J. Fountain, Array architectures for iconic and
symbolic image processing, IJPRAI 2, 1988, 407-424.
484. C. Savage, Recognizing majority on a one-way mesh,
IPL 27, 1988, 221-225.
485. K. Banerjee, P.S. Sastry, K.R. Ramakrishnan, and
Y.V. Venkatesh, An SIMD machine for low-level
vision, IS 44, 1988, 19-50.
486. S.R. Kosaraju and M.J. Atallah, Optimal simulations
between mesh-connected arrays of processors, J.
ACM 35, 1988, 635-650.
487. J.H. Chang, O.H. Ibarra, and A. Vergis, On the power
of one-way communication, J. ACM 35, 1988, 697-726.
488. P. Gacs and J. Reif, A simple three-dimensional
real-time reliable cellular array, JCSS 36, 1988,
125-147.
45
489. A. Kashko, H. Buxton, B.F. Buxton, and D.A.
Castelow, Parallel matching and reconstruction
algorithms in computer vision, PC 7, 1988, 3-17.
490. T. Legendi, E. Katona, J. Toth, and A. Zsoter,
Megacell machine, PC 8, 1988, 195-199.
491. Q.F. Stout, Mapping vision algorithms to parallel
architectures,
P-IEEE 76, 1988, 982-995.
492. P.J. Burt, Smart sensing with a pyramid vision
machine,
P-IEEE 76, 1988, 1006-1015.
493. O.H. Ibarra and M.A. Palis, Two-dimensional
iterative arrays: characterizations and
applications, TCS 57, 1988, 47-86.
494. O.H. Ibarra, Relating the power of cellular arrays
to their closure properties, TCS 57, 1988, 225-238.
495. A.S. Hodel and M.C. Loui, Optimal dynamic embedding
of X-trees into arrays, TCS 59, 1988, 259-276.
496. M.U. Uyar and A.P. Reeves, Dynamic fault
reconfiguration in a mesh-connected MIMD
environment, T-COMP 37, 1988, 1191-1205.
497. D.S. Scott and J. Brandenburg, Minimal mesh
embeddings in binary hypercubes, T-COMP 37, 1988,
1284-1285.
498. M.Y. Chan and F.Y.L. Chin, On embedding rectangular
grids in hypercubes, T-COMP 37, 1988, 1285-1288.
499. M.J. Atallah, On multidimensional arrays of
processors, T-COMP 37, 1988, 1306-1309.
500. D.A. Carlson, Modified mesh-connected parallel
computers,
T-COMP 37, 1988, 1315-1321.
501. R. Miller and Q.F. Stout, Simulating essential
pyramids,
T-COMP 37, 1988, 1643-1648.
502. T.J. Fountain, K.N. Matthews, and M.J.B. Duff, The
CLIP7A image processor, T-PAMI 10, 1988, 310-319.
46
503. L.A. Schmitt and S.S. Wilson, The AIS-5000 parallel
processor,
T-PAMI 10, 1988, 320-330.
504. V. Cantoni and S. Levialdi, PAPIA: a case history,
PCV, 3-13.
505. D.H. Schaefer, P. Ho, J. Boyd, and C. Vallejos, The
GAM pyramid, PCV, 15-42.
506. S.L. Tanimoto, T.J. Ligocki, and R. Ling, A
prototype pyramid machine for hierarchical cellular
logic, PCV, 43-83.
507. Q.F. Stout, Pyramid algorithms optimal for the worst
case, PCV, 147-168.
508. P.J. Burt, ``Smart sensing'' in machine vision,
MVAAS, 1-30.
509. T.J. Fountain, Introducing local autonomy to
processor arrays, MVAAS, 31-56.
510. J.J. Little, Integrating vision modules on a fine-
grained parallel machine, MVAAS, 57-96.
511. A.P. Reeves, Meshes and hypercubes for computer
vision, MCV, 97-115.
512. S.S. Wilson, One dimensional SIMD architectures-the
AIS-5000, MCV, 131-149.
513. R.P.W. Duin and P.P. Jonker, Processor arrays
compared to pipelines for cellular image operations,
MCV, 151-169.
514. A. Merigot, Designing memories for cellular
processors, MCV, 171-183.
515. P.J. Burt, Algorithms and architectures for smart
sensing, IUW, 139-153.
516. V.K. Prasanna-Kumar and D. Reisis, Parallel
architectures for image processing and vision, IUW,
609-619.
517. A.L. Fisher, P.T. Highnam, and T.E. Rockoff, Scan
line array processors: work in progress, IUW,
625-633.
47
518. R. Miller and Q.F. Stout, Simulating essential
pyramids, CVPR, 912-917.
519. R. Miller, V.K. Prasanna-Kumar, D.J. Reisis, and
Q.F. Stout, Image computations on reconfigurable
VLSI arrays, CVPR, 925-930.
520. H.M. Alnuweiri and V.K. Prasanna Kumar, Optimal
geometric algorithms on fixed-size linear arrays and
scan line arrays, CVPR, 931-936.
521. J.L.C. Sanz and R.E. Cypher, Algorithms for
massively parallel image processing architectures,
ICPR, 412-419.
522. P. Garda, A. Reichart, H. Rodriguez, F. Devos, and
B. Zavidovique, Yet another mesh array smart
sensor?, ICPR, 863-865.
523. P.J. Burt, Attention mechanisms for vision in a
dynamic world, ICPR, 977-987.
D.3. Other systems
524. T. Diede, C.F. Hagenmaier, G.S. Miranker, J.J.
Rubinstein, and W.S. Worley Jr., The Titan graphics
supercomputer architecture, Computer 21(9), 1988,
13-30.
525. R. Eckhouse, The PC as a graphics engine,
Computer 21(10), 1988, 66-72.
526. C.V. Stewart and C.R. Dyer, Scheduling algorithms
for PIPE (Pipelined Image-Processing Engine),
JPDC 5, 1988, 131-153.
527. P.C. Treleaven, Parallel architecture overview,
PC 8, 1988, 59-70.
528. F.C.A. Groen, R.J. Ekkers, and R. DeVries, Image
processing with personal computers, SP 15, 1988,
279-291.
529. V. Cantoni and S. Levialdi, Multiprocessor computing
for images,
P-IEEE 76, 1988, 959-969.
530. M. Maresca, M.A. Lavin, and H. Li, Parallel
architectures for vision,
P-IEEE 76, 1988, 970-981.
48
531. E. Persoon, A pipelined image analysis system using
custom integrated circuits,
T-PAMI 10, 1988, 110-116.
532. D. Paul, W. Hattich, W. Nill, S. Tatari, and G.
Winkler, VISTA: visual interpretation system for
technical applications-architecture and use, T-
PAMI 10, 1988, 399-407.
533. J. Rothstein, Bus automata, brains, and mental
models, T-SMC 18, 1988, 522-531.
534. A. Fournier and D. Fussell, On the power of the
frame buffer, TOG 7, 1988, 103-128.
535. M. Sharma, N. Ahuja, and J.H. Patel, NETRA: an
architecture for a large scale multiprocessor vision
system, PCV, 87-105.
536. S.P. Levitan, C.C. Weems, A.R. Hanson, and E.M.
Riseman, The UMass Image Understanding Architecture,
PCV, 215-248.
537. L. Uhr, Highly parallel, hierarchical, recognition
cone perceptual structures, PCV, 249-292.
538. A. Rosenfeld, Computer architectures for machine
vision, MVAAS, 97-101.
539. T.J. Fountain, Machine vision architectures and
systems-a discussion, MVAAS, 103-107.
540. L. Uhr, The coordinated evaluation of parallel
architectures for perceptual tasks, MCV, 53-73.
541. A. Krikelis and R.M. Lea, An associative approach to
computer vision, MCV, 75-95.
542. L. Carrioli, S. Cuniolo, and M. Ferretti, Image
processing experiments on a commercial MIMD system,
MCV, 117-130.
543. C.C. Weems, Some sample algorithms for the Image
Understanding Architecture, IUW, 127-138.
544. T. Poggio, J. Little, E. Gamble, W. Gillett, D.
Geiger, D. Weinshall, M. Villalba, N. Larson, T.
Cass, H. Bulthoff, M. Drumheller, P. Oppenheiner, W.
Yang, and A. Hurlbert, The MIT Vision Machine, IUW,
177-198.
49
545. W. Liu, T.F. Yeh, W.E. Batchelor, and R. Cavin, Bit
level concurrency in real-time geometric feature
extractions, CVPR, 957-962.
546. A. Sanfeliu, J. Font, and I. Orteu, An architecture
based on hybrid systems for analyzing 3D industrial
scenes, ICPR, 368-370.
547. P. Duclos, F. Boeri, M. Auguin, and G. Giraudon,
Image processing on a SIMD/SPMD architecture:
OPSILA, ICPR, 430-433.
548. A. Chianese, L.P. Cordella, M. DeSanto, A. Marcelli,
and M. Vento, A preliminary approach to the design
and evaluation of a reconfigurable architecture for
computer vision, ICPR, 724-726.
549. E. Allart and B. Zavidovique, Functional computer
for low level image processing, ICPR, 830-832.
550. S. Levialdi, Computer architectures for image
analysis, ICPR, 1148-1158.
D.4. Related topics
551. DARPA Image Understanding Benchmark Workshop, Avon,
CT, October 19-20, 1988.
552. S.K. Chang, T. Ichikawa, and P.A. Ligomenides, eds.,
Visual Languages, Plenum Press, New York, 1987.
553. S.K. Chang, Principles of Pictorial Information
System Design, Prentice-Hall, Englewood Cliffs, NJ,
1989.
554. M.M. Taylor, guest ed., Special Issue on Multimodal
Computer-Human Interaction, IJMMS 28, 1988, 99-300.
555. S.S. Iyengar and R.L. Kashyap, guest eds., Special
Section on Image Databases, T-SE 14 (5), May 1988,
608-688.
556. L. Sevigny, C. Hedegaard, J.P. Gambotto, M. Bohner,
S. Grinaker, D.E. Lloyd, L.E. Garn, and J.A. Knecht,
A tape format for transferral of image data and
source programs, CVGIP 41, 1988, 107-113.
557. P.G. Barker, M. Najah, and K.A. Manji, Pictorial
communication with computers, IJMMS 27, 1987,
315-336.
50
558. C.A. McCann, M.M. Taylor, and M.I. Tuori, ISIS: the
interactive spatial information system, IJMMS 28,
1988, 101-138.
559. L.G. Shapiro, R.M. Haralick, and M.J. Goulish,
INSIGHT: a dataflow language for programming vision
algorithms in a reconfigurable computational
network, IJPRAI 1, 1987, 335-350.
560. S.K. Chang, M.J. Tauber, B. Yu, and J.S. Yu, The
SIL-ICON Compiler-an icon-oriented system generator,
IJPRAI 2, 1988, 241-273.
561. D.G. Bailey and R.M. Hodgson, VIPS-a digital image
processing algorithm development environment, IVC 6,
1988, 176-184.
562. R. Hesse and R. Klette, Knowledge-based program
synthesis for computer vision, J. New Generation
Computing Systems 1, 1988, 63-85.
563. D.T. Lawton and C.C. McConnell, Image understanding
environments, P-IEEE 76, 1988, 1036-1050.
564. J.A. Orenstein and R.A. Manola, PROBE spatial data
modeling and query processing in an image database
application, T-SE 14, 1988, 611-629.
565. T. Joseph and A.F. Cardenas, PICQUERY: a high level
query language for pictorial database management,
T-SE 14, 1988, 630-638.
566. N. Roussopoulos, C. Faloutsos, and T. Sellis, An
efficient pictorial database system for PSQL, T-
SE 14, 1988, 639-650.
567. L. Mohan and R.L. Kashyap, An object-oriented
knowledge representation for pictorial information,
T-SE 14, 1988, 675-681.
568. S.K. Chang, C.W. Yan, D.C. Dimitroff, and T. Arndt,
An intelligent image database system, T-SE 14, 1988,
681-688.
569. F. Weil, L. Jamieson, and E. Delp, An algorithm
database for an image understanding task execution
environment, MCV, 35-51.
570. C. Weems, E. Riseman, A. Hanson, and A. Rosenfeld,
An integrated image understanding benchmark:
recognition of a 2-1/2D ``mobile'', IUW, 111-126.
51
571. R.S. Wallace, J.A. Webb, and I.C. Wu, Machine-
independent image processing: performance of Apply
on diverse architectures, IUW, 602-608.
572. C.C. McConnell and D.T. Lawton, IU software
environments, IUW, 666-677.
573. C. Weems, E. Riseman, A. Hanson, and A. Rosenfeld,
IU parallel processing benchmark, CVPR, 673-688.
574. E.R. Dougherty and P. Sehdev, A robust image
processing language in the context of image algebra,
CVPR, 748-753.
575. J. Piper and D. Rutovitz, An investigation of
object-oriented programming as the basis for an
image processing and analysis system, ICPR,
1015-1019.
E. Computational techniques
E.1. Image operations
576. J. Serra, ed., Image Analysis and Mathematical
Morphology 2: Technical Advances, Academic Press,
New York, 1988.
577. D.P. O'Leary, Some algorithms for approximating
convolutions, CVGIP 41, 1988, 333-345.
578. Z.Q. Liu and T.M. Caelli, Multiobject pattern
recognition and detection in noisy backgrounds using
a hierarchical approach, CVGIP 44, 1988, 296-306.
579. E.R. Dougherty and C.R. Giardina, Morphology on
umbra matrices, IJPRAI 2, 1988, 367-385.
580. L. Abbot, R.M. Haralick, and X. Zhuang, Pipeline
architectures for morphologic image analysis, MVA 1,
1988, 23-40.
581. S. Kundu, A class of linear maps for error
corrective dimensionality reduction of binary
templates, PR 21, 1988, 381-392.
582. P. Bhattacharya, An algebraic environment to process
fuzzy images, PRL 8, 1988, 29-33.
583. P.W. Verbeek, H.A. Vrooman, and L.J. Van Vliet,
Low-level image processing by max-min filters,
SP 15, 1988, 249-258.
52
584. J.B.T.M. Roerdink and H.J.A.M. Heijmans,
Mathematical morphology for structures without
translation symmetry, SP 15, 1988, 271-277.
585. T.K. Truong, D.Y. Pei, I.S. Reed, Y.F. Chu, and I.S.
Hsu, An FPT algorithm with a modularized structure
for computing 2-D cyclic convolutions, T-ASSP 36,
1988, 1540-1542.
586. R.L. Stevenson and G.R. Arce, Morphological filters:
statistics and further syntactic properties, T-
CAS 34, 1987, 1292-1305.
587. J.H. Chang, O.H. Ibarra, T.C. Pong, and S.M. Sohn,
Two-dimensional convolution on a pyramid computer,
T-PAMI 10, 1988, 590-593.
588. R.M. Haralick, Mathematical morphology and the
morphological sampling theorem, IUW, 461-487.
589. E.R. Dougherty and C.R. Giardina, Closed-form
representation of convolution, dilation, and erosion
in the context of image algebra, CVPR, 754-759.
590. R.C. Vogt, Automatic generation of simple
morphological algorithms, CVPR, 760-765.
591. R.M. Haralick, X. Zhuang, C. Lin, and J. Lee, Binary
morphology: working in the sampled domain, CVPR,
780-791.
592. A. Fournier and E. Fiume, Constant-time filtering
with space-variant kernels, SIGGRAPH, 229-238.
593. R. Deriche, Fast algorithms for low-level vision,
ICPR, 434-438.
594. (M. Wu), Fuzzy morphology and image analysis, ICPR,
453-455.
595. Z. Xie and L. Wu, The [[2]G performance in the
presence of noise, ICPR, 637-639.
596. W. Gong, On decomposition of structure element for
mathematical morphology, ICPR, 836-838.
597. (F. Pan), (W. Gu), (R. Jin), and (Q. Yao), One-pass
preprocessing algorithm for real-time image
processing system, ICPR, 851-853.
53
598. A.A. Vasiliev, V.V. Dadeshidze, I.N. Kompanets, G.A.
Lunyakova, and A.U. Sinigibsky, Optical pattern
recognition using correlation procedure for
rotation- and scale-invariant feature extraction,
ICPR, 1260-1264.
599. M.M. Skolnick, S. Kim, and R. O'Bara, Morphological
algorithms for computing non-planar point
neighborhoods on cellular automata, ICCV, 106-111.
600. P.J. Besl, J.B. Birch, and L.T. Watson, Robust
window operators, ICCV, 591-600.
E.2. Multiresolution methods
601. J.J. Koenderink, Scale-time, Biological
Cybernetics 58, 1988, 159-162.
602. W.F. Bischof and T. Caelli, Parsing scale-space and
spatial stability analysis, CVGIP 42, 1988, 192-205.
603. N. Ranganathan and M. Shah, A VLSI architecture for
computing scale space, CVGIP 43, 1988, 178-204.
604. P. Meer, S.N. Jiang, E.S. Baugher, and A. Rosenfeld,
Robustness of image pyramids under structural
perturbations, CVGIP 44, 1988, 307-331.
605. P. Meer, Efficient computation of two-dimensional
Gaussian windows, PRL 7, 1988, 227-229.
606. P. Meer, Simulation of constant size multiresolution
representations on image pyramids, PRL 8, 1988,
229-236.
607. R. Hummel, The scale-space formulation of pyramid
data structures, PCV, 107-123.
608. S. Peleg, O. Federbusch, and R. Hummel, Custom-made
pyramids, PCV, 125-146.
609. C.R. Dyer, Multiscale image understanding, PCV,
171-213.
610. A.L. Yuille and T. Poggio, Scaling and fingerprint
theorems for zero-crossings, ACV II, 47-78.
611. H.A.H. Ibrahim, Pyramid algorithms implementation on
the connection machine, IUW, 634-639.
54
612. A.K. Mackworth and F. Mokhtarian, The renormalized
curvature scale space and the evolution properties
of planar curves, CVPR, 318-326.
613. N. Ranganathan and M. Shah, A scale-space chip,
ICPR, 420-424.
614. M. Sato, T. Wada, and H. Kawarada, A morphological
study on structure line, ICPR, 559-562.
615. W.G. Kropatsch, Preserving contours in dual
pyramids, ICPR, 563-565.
616. L. Wu and Z. Xie, On fingerprint theorems, ICPR,
1216-1220.
617. T. Simchony, R. Chellappa, and Z. Lichtenstein,
Pyramid implementation of optimal step conjugate
search algorithms for some computer vision problems,
ICCV, 580-590.
E.3. Geometric transformations
618. H. Schaal, Computer graphical treatments of
perspective pictures, C&G 12, 1988, 15-31.
619. S.A. Jassim, A noniterative algorithm for generating
connected quadrilaterals of specified area, C&G 12,
1988, 229-233.
620. T.R. Walsh, Efficient axis-translation of binary
digital pictures by blocks in linear quadtree
representation, CVGIP 41, 1988, 282-292.
621. T. Buchanan, The twisted cubic and camera
calibration, CVGIP 42, 1988, 130-132.
622. S.G. Ziavras and N.A. Alexandridis, Improved
algorithms for translation of pictures represented
by leaf codes, IVC 6, 1988, 13-20.
623. C.A. Shaffer and H. Samet, Algorithm to expand
regions represented by linear quadtrees, IVC 6,
1988, 162-168.
624. D.C. Mason and M.J. Callen, Comparison of two
dilation algorithms for a linear quadtree, IVC 6,
1988, 169-175.
55
625. R.K. Lenz and R.Y. Tsai, Techniques for calibration
of the scale factor and image center for high
accuracy 3-D machine vision metrology,
T-PAMI 10, 1988, 713-720.
626. K.D. Gremban, C.E. Thorpe, and T. Kanade, Geometric
camera calibration using systems of linear
equations,
IUW, 820-825.
627. B.K.P. Horn, Relative orientation, IUW, 826-837.
628. R.K. Lenz and R.Y. Tsai, Calibrating a Cartesian
robot with eye-on-hand configuration independent of
eye-to-hand relationship, CVPR, 67-75.
629. Z.C. Li, T.D. Bui, C.Y. Suen, and Y.Y. Tang,
Nonlinear transformations of digitized patterns,
ICPR, 134-136.
630. G.Q. Wei and Z.Y. He, Determining vanishing point
and camera parameter: new approaches, ICPR,
450-452.
631. S.K. Parui, Shape preserving properties of some
operations on binary pictures, ICPR, 773-775.
E.4. Interpretation, etc.
632. C.C. Chu and A.C. Bovik, Visible surface
reconstruction via local minimax approximation,
PR 21, 1988, 303-312.
633. P.V. Sankar and L.A. Ferrari, Simple algorithms and
architectures for B-spline interpolation, T-PAMI 10,
1988, 271-276.
634. D. Terzopoulos, The computation of visible-surface
representations,
T-PAMI 10, 1988, 417-438.
635. J.Y. Jou and A.C. Bovik, Improving visible-surface
reconstruction,
CVPR, 138-143.
636. P.J. Burt, Moment images, polynomial fit filters,
and the problem of surface interpolation, CVPR,
144-152.
56
637. D.J. Choi and J.R. Kender, Solving the depth
interpolation problem on a parallel architecture
with a multigrid approach, CVPR, 189-194.
638. W. Forstner, Reliability analysis of parameter
estimation in linear models with applications to
mensuration problems in computer vision, CVGIP 40,
1987, 273-310.
639. M. Bertero, T.A. Poggio, and V. Torre, Ill-posed
problems in early vision, P-IEEE 76, 1988, 869-889.
640. D. Lee, Some computational aspects of low-level
computer vision,
P-IEEE 76, 1988, 890-898.
641. D. Lee and T. Pavlidis, One-dimensional
regularization with discontinuities,
T-PAMI 10, 1988, 822-829.
642. B. Kamgar-Parsi and B. Kamgar-Parsi, Evaluation of
quantization error in computer vision, IUW, 720-730.
643. B. Kamgar-Parsi and B. Kamgar-Parsi, Evaluation of
quantization error in computer vision, CVPR, 52-60.
644. L. Xu, Some applications of simulated annealing to
pattern recognition, ICPR, 1040-1042.
645. M.A. Gennert and A.L. Yuille, Determining the
optimal weights in multiple objective function
optimization, ICCV, 87-89.
F. Feature detection, segmentation, and image analysis
F.1. Feature detection
646. T. Poggio, H. Voorhees, and A. Yuille, A regularized
solution to edge detection, J. Complexity 4, 1988,
106-123.
647. M.R.B. Forshaw, Speeding up the Marr-Hildreth edge
operator, CVGIP 41, 1988, 172-185.
648. M.A. Piech, Comments on fingerprints of two-
dimensional edge models, CVGIP 42, 1988, 381-386.
649. P. Grattoni, E. Pollastri, and A. Premoli, A contour
detection algorithm based on the minimum radial
inertia (MRI) criterion, CVGIP 43, 1988, 22-36.
57
650. R.P. Blanford and S.L. Tanimoto, Bright-spot
detection in pyramids, CVGIP 43, 1988, 133-149.
651. J.S. Huang and D.H. Tseng, Statistical theory of
edge detection, CVGIP 43, 1988, 337-346.
652. G.F. McLean and M.E. Jernigan, Hierarchical edge
detection, CVGIP 44, 1988, 350-366.
653. M. Kass, A. Witkin, and D. Terzopoulos, Snakes:
active contour models, IJCV 1, 1988, 321-331.
654. S.W. Zucker, Early orientation selection-inferring
trace, tangent, and curvature fields, IJPRAI 2,
1988, 443-457.
655. J.A. Noble, Finding corners, IVC 6, 1988, 121-128.
656. G. Lei, Level crossing curvature and the Laplacian,
IVC 6, 1988, 185-188.
657. J. van Cleynenbruegel, F. Fierens, P. Suetens, and
A. Oosterlinck, Knowledge-based improvement of
automatic image interpretation for restricted
scenes: two case studies, IVC 6, 1988, 238-246.
658. D. Petkovic, W. Niblack, and M. Flickner,
Projection-based high accuracy measurement of
straight line edges, MVA 1, 1988, 183-199.
659. L.H. Chen and W.H. Tsai, Moment-preserving line
detection, PR 21, 1988, 45-53.
660. D. Stern and L. Kurz, Edge detection in correlated
noise using Latin square masks, PR 21, 1988,
119-129.
661. F.C. Ghelli, A sequential learning method for
boundary detection, PR 21, 1988, 131-139.
662. J.F. Haddon, Generalized threshold selection for
edge detection, PR 21, 1988, 195-203.
663. O.A. Zuniga and R.M. Haralick, Gradient threshold
selection using the facet model, PR 21, 1988,
493-503.
664. E. Leung and X. Li, Parallel processing approaches
to edge relaxation, PR 21, 1988, 547-558.
58
665. F. Sjoberg and F. Bergholm, Extraction of diffuse
edges by edge focusing, PRL 7, 1988, 181-190.
666. T.Y. Phillips and A. Rosenfeld, An ISODATA algorithm
for straight line fitting, PRL 7, 1988, 291-297.
667. J. Bigun, Local symmetry features in image
processing, SP 15, 1988, 219.
668. R.A. Young, The Gaussian derivative for spatial
vision: I. Retinal mechanisms, Spatial Vision 2,
1987, 273-293.
669. A.C. Bovik, On detecting edges in speckle imagery,
T-ASSP 36, 1988, 1618-1627.
670. Y. Neuvo, P. Heinonen, and I. Defee, Linear-median
hybrid edge detectors, T-CAS 34, 1987, 1337-1343.
671. A.F. Korn, Toward a symbolic representation of
intensity changes in images, T-PAMI 10, 1988,
610-625.
672. J.J. Clark, Singularity theory and phantom edges in
scale space,
T-PAMI 10, 1988, 720-727.
673. V. Lacroix, A three-module strategy for edge
detection,
T-PAMI 10, 1988, 803-810.
674. E.P. Lyvers and O.R. Mitchell, Precision edge
contrast and orientation estimation, T-PAMI 10,
1988, 927-937.
675. A. Touzani and J.G. Postaire, Mode detection by
relaxation,
T-PAMI 10, 1988, 970-978.
676. L.H. Chen and W.H. Tsai, Moment-preserving curve
detection,
T-SMC 18, 1988, 148-158.
677. D.H. Schaefer and M.B. Chu, Pyramids and ``end'',
MCV, 23-34.
678. P. Fua and Y.G. Leclerc, Model driven edge
detection, IUW, 1016-1021.
59
679. J. Canning, J.J. Kim, N. Netanyahu, and A.
Rosenfeld, Symbolic pixel labeling for curvilinear
feature detection, IUW, 1080-1090.
680. P. Yamamoto, K. Kato, K. Imai, and H. Imai,
Algorithms for vertical and orthogonal L<1> linear
approximation of points, CG, 352-361.
681. F. Ulupinar and G. Medioni, Refining edges detected
by a LoG operator, CVPR, 202-207.
682. D. Lee, T. Pavlidis, and K. Huang, Edge detection
through residual analysis, CVPR, 215-222.
683. R.M. Haralick and J.S.J. Lee, Context dependent edge
detection, CVPR, 223-228.
684. I. Weiss, Straight line fitting in a noisy image,
CVPR, 647-652.
685. T. Kasvand, Extraction of edges in 3D range images
to subpixel accuracy, ICPR, 93-98.
686. T. Jiang and M.B. Merickel, Boundary estimation in
complex imagery using Fourier descriptors, ICPR,
187-190.
687. R.M. Haralick and J.S.J. Lee, Context dependent edge
detection, ICPR, 203-207.
688. M. Levy, A new theoretical approach to relaxation,
application to edge detection, ICPR, 208-212.
689. J. Shen and S. Castan, Further results on DRF method
for edge detection, ICPR, 223-225.
690. W.J.C. Witts and G.P. Otto, Optimising edge
detection, ICPR, 279-281.
691. J. Bigun, Recognition of local symmetries in gray
value images by harmonic functions, ICPR, 345-347.
692. (D. Zhang), (J. Liu), and (F. Wan), Multiresolution
relaxation: experiments and evaluations, ICPR,
712-714.
693. K.H. Hedengren, Decomposition of edge operators,
ICPR, 963-965.
60
694. S.M. Liu, N.C. Lin, and C.C. Liang, An iterative
edge linking algorithm with noise removal
capability, ICPR, 1120-1122.
695. K. Rangarajan, M. Shah, and D. Van Brackle, Optimal
corner detection, ICCV, 90-94.
696. A.A. Amini, S. Tehrani, and T.E. Weymouth, Using
dynamic programming for minimizing the energy of
active contours in the presence of hard constraints,
ICCV, 95-99.
697. J.A. Noble, Morphological feature detection, ICCV,
112-116.
698. D. Lee, Coping with discontinuities in computer
vision: their detection, classification, and
measurement, ICCV, 546-557.
699. S.W. Zucker, C. David, A. Dobbins, and L. Iverson,
The organization of curve detection: coarse tangent
fields and fine spline coverings, ICCV, 568-577.
F.2. Segmentation
700. R. Wilson and M. Spann, Image Segmentation and
Uncertainty, Wiley, New York, 1988.
701. P.K. Sahoo, S. Soltani, A.K.C. Wong, and Y.C. Chen,
A survey of thresholding techniques, CVGIP 41, 1988,
233-260.
702. R.R. Zito, The shape of SAR histograms, CVGIP 43,
1988, 281-293.
703. R.H. Laprade, Split-and-merge segmentation of aerial
photographs, CVGIP 44, 1988, 77-86.
704. L. Hertz and R.W. Schafer, Multilevel thresholding
using edge matching, CVGIP 44, 1988, 279-295.
705. O. Monga, An optimal region growing algorithm for
image segmentation, IJPRAI 1, 1987, 351-375.
706. S.K. Chang, G. Tortora, B. Yu, and A. Guercio, Icon
purity-toward a formal theory of icons, IJPRAI 1,
1987, 377-392.
707. P. Zamperoni, Feature extraction by rank-order
filtering for image segmentation, IJPRAI 2, 1988,
301-319.
61
708. A. Rosenfeld and A.C. Sher, Detection and
delineation of compact objects using intensity
pyramids, PR 21, 1988, 147-151.
709. M. Amadasun and R.A. King, Low-level segmentation of
multispectral images via agglomerative clustering in
uniform neighborhoods, PR 21, 1988, 261-268.
710. S.K. Pal and A. Rosenfeld, Image enhancement and
thresholding by optimization of fuzzy compactness,
PRL 7, 1988, 77-86.
711. Q.Z. Ye and P.E. Danielsson, On minimum error
thresholding and its implementations, PRL 7, 1988,
201-206.
712. G.A. De Biase and R. Nesci, Correction of background
in very low statistics images, PRL 8, 1988, 165-170.
713. M.K. Kundu and S.K. Pal, A note on grey level-
intensity transformation: effect on HVS
thresholding, PRL 8, 1988, 257-269.
714. M.H. Hassan and P. Siy, Thresholding based on
learning theory, P-IEEE 76, 1988, 1379-1381.
715. S.M. Ali and R.E. Burge, New automatic techniques
for smoothing and segmenting SAR images, SP 14,
1988, 335-346.
716. B. Chanda and D. Dutta Majumder, A note on the use
of the graylevel co-occurrence matrix in threshold
selection, SP 15, 1988, 149-167.
717. M. Hotter and R. Thoma, Image segmentation based on
object oriented mapping parameter estimation, SP 15,
1988, 315-334.
718. I. Pitas, Markovian image models for image labeling
and edge detection, SP 15, 1988, 365-374.
719. P.A. Kelly, H. Derin, and K.D. Hartt, Adaptive
segmentation of speckled images using a hierarchical
random field model, T-ASSP 36, 1988, 1628-1641.
720. P.J. Besl and R.C. Jain, Segmentation through
variable-order surface fitting, T-PAMI 10, 1988,
167-192.
62
721. J.T. Kent and K.V. Mardia, Spatial classification
using fuzzy membership models, T-PAMI 10, 1988,
659-671.
722. K.V. Mardia and T.J. Hainsworth, A spatial
thresholding method for image segmentation, T-
PAMI 10, 1988, 919-927.
723. B. Chanda, B.B. Chaudhuri, and D. Dutta Majumder, A
modified scheme for segmenting the noisy image, T-
SMC 18, 1988, 458-466.
724. G. Bongiovanni, L. Cinque, S. Levialdi, and A.
Rosenfeld, Bimodality analysis using pyramids, MCV,
1-7.
725. P.B. Chou and C.M. Brown, Multimodal reconstruction
and segmentation with Markov random fields and HCF
optimization, IUW, 214-221.
726. Y.G. Leclerc, Constructing simple stable
descriptions for image partitioning, IUW, 365-382.
727. T.S. Sumanaweera, G. Healey, B.U. Lee, T.O. Binford,
and J. Ponce, Image segmentation using geometric and
physical constraints, IUW, 1091-1099.
728. T. Pavlidis and Y.T. Liow, Integrating region
growing and edge detection, CVPR, 208-214.
729. M. Abdelguerfi, A.K. Sood, and S. Khalaf, Parallel
bit-level pipelined VLSI processing unit for the
histogramming operation, CVPR, 945-950.
730. S.D. Yanowitz and A.M. Bruckstein, A new method for
image segmentation, ICPR, 270-275.
731. A. Kalvin, S. Peleg, and R. Hummel, Pyramid
segmentation in 2D and 3D images using local
optimization, ICPR, 276-278.
732. H.S. Don, Stochastic image segmentation using
spatial-temporal context, ICPR, 342-344.
733. S.K. Pal and N.R. Pal, Object extraction from image
using higher order entropy, ICPR, 348-350.
734. M. Bruynooghe, A very efficient strategy for very
large data sets clustering-application to image
segmentation, ICPR, 623-627.
63
735. T. Jiang, M.B. Merickel, and E.A. Parrish Jr.,
Automated threshold detection using a pyramid
structure, ICPR, 689-692.
736. T.N. Pappas and N.S. Jayant, An adaptive clustering
algorithm for image segmentation, ICCV, 310-315.
F.3. Image analysis
737. D. Dori and A. Pnueli, The grammar of dimensions in
machine drawings, CVGIP 42, 1988, 1-18.
738. N. Nirmal and R. Rama, Picture generation and
developmental matrix systems, CVGIP 43, 1988, 67-80.
739. R.M.K. Sinha, PLANG based specification of patterns
with variations for pictorial data bases, CVGIP 43,
1988, 98-110.
740. J.A. Mulder, Discrimination vision, CVGIP 43, 1988,
313-336.
741. D. Tranowski, A knowledge acquisition environment
for scene analysis, IJMMS 29, 1988, 197-213.
742. H. Niemann, G. Sagerer, and W. Eichhorn, Control
strategies in a hierarchical knowledge structure,
IJPRAI 2, 1988, 557-572.
743. D. Lucanu, Several properties of array languages,
IS 43, 1987, 185-203.
744. A. Ito, K. Inoue, and I. Takanami, A note on three-
way two-dimensional alternating Turing machines,
IS 45, 1988, 1-22.
745. P.A. Ruetz and R.W. Brodersen, An image-recognition
system using algorithmically dedicated integrated
circuits, MVA 1, 1988, 3-22.
746. F. Tomita, Interactive and automatic image
recognition system, MVA 1, 1988, 59-69.
747. V. Radhakrishnan and G. Nagaraja, Inference of Even
Linear Grammars and its application to picture
description languages, PR 21, 1988, 55-62.
748. A.M. Wallace, A comparison of approaches to high-
level image interpretation, PR 21, 1988, 241-259.
64
749. M. Flasinski, Parsing of edNLC-graph grammars for
scene analysis, PR 21, 1988, 623-629.
750. T.M. Caelli, W.F. Bischof, and Z.Q. Liu, Filter-
based models for pattern classification, PR 21,
1988, 639-650.
751. M.C. Cooper, Efficient systematic analysis of
occlusion, PRL 7, 1988, 259-264.
752. P. Ahmed, P. Goyal, T.S. Narayanan, and C.Y. Suen,
Linear time algorithms for an image labelling
machine, PRL 7, 1988, 273-378.
753. T. Sziranyi, Statistical pattern recognition of low
resolution pictures, PRL 8, 1988, 221-228.
754. Z.M. Wojcik, Quick recognition of circular objects
in a black-white picture, PRL 8, 1988, 277-288.
755. N. Bartneck, A method for the transformation of
iconic information of digitized images into suitable
symbolic descriptions for image interpretation,
SP 14, 1988, 307-308.
756. J.A. Mulder, A.K. Mackworth, and W.S. Havens,
Knowledge structuring and constraint satisfaction:
the Mapsee approach, T-PAMI 10, 1988, 866-879.
757. A. Hanson and E. Riseman, The VISIONS image-
understanding system, ACV I, 1-114.
758. S.L. Tanimoto, Machine vision as state-space search,
MVAAS, 273-298.
759. T.A. Cass, Robust parallel computation of 2D model-
based recognition, IUW, 640-650.
760. T.M. Strat and G.B. Smith, Core knowledge system:
storage and retrieval of inconsistent information,
IUW, 660-665.
761. P. Fua and A.J. Hanson, Extracting generic shapes
using model-driven optimization, IUW, 994-1004.
762. G.J. Ettinger, Large hierarchical object recognition
using libraries of parameterized model sub-parts,
CVPR, 32-41.
65
763. W. Niblack, D. Petkovic, and D. Damian, Experiments
and evaluations of rule based methods in image
analysis, CVPR, 123-128.
764. B.A. Draper, J. Brolio, R.T. Collins, A.R. Hanson,
and E.M. Riseman, Image interpretation by
distributed cooperative processes, CVPR, 129-135.
765. T.C. Rearick, J.L. Frawley, and P.P. Cortopassi,
Using perceptual grouping to recognize and locate
partially occluded objects, CVPR, 840-846.
766. G.C. Osbourn, A new approach to machine-based
perception of monocular images, CVPR, 864-870.
767. L.W. Tucker, C.R. Feynman, and D.M. Fritszche,
Object recognition using the Connection Machine,
CVPR, 871-878.
768. T.A. Cass, A robust parallel implementation of 2D
model-based recognition, CVPR, 879-884.
769. T. Matsuyama, Expert systems for image processing-
knowledge-based composition of image analysis
processes, ICPR, 125-133.
770. C.H. Teh and R.T. Chin, Two dimensional CAD-based
object recognition, ICPR, 382-384.
771. R. Deriche, J.P. Cocquerez, and G. Almouzny, An
efficient method to build early image description,
ICPR, 588-590.
772. P. Mussio, M. Padula, and M. Protti, Attributed
conditional L-systems: a tool for image
description, ICPR, 607-609.
773. M.A. Eshera, Hierarchical inference scheme for
high-level image understanding, ICPR, 882-884.
774. J.Y. Yang and Q. Hu, Recognition method of shape
distorted objects using hierarchical feature
descriptions, ICPR, 894-896.
775. A. Yamamoto and M. Takagi, Extraction of object
features from image and its application to image
retrieval, ICPR, 988-991.
776. A. Mitiche, A. Mansouri, and C. Meubus, A knowledge
based image interpretation system, ICPR, 992-994.
66
777. Y. Nakamura and M. Nagao, Recognition of overlapping
2-D objects by local feature construction method,
ICPR, 1046-1048.
778. G. Yang, A syntactic approach for building
knowledge-based pattern recognition system, ICPR,
1236-1238.
779. H. Shvaytser, Learnable and non-learnable visual
concepts, ICCV, 264-268.
G. Matching, Stereo, and motion
G.1. Matching
780. H. Wolfson, E. Schonberg, A. Kalvin, and Y. Lamdan,
Solving jigsaw puzzles by computer, Annals of
Operations Research 12, 1988, 51-64.
781. C.A. Berenstein, L.N. Kanal, D. Lavine, and E.C.
Olson, A geometric approach to subpixel registration
accuracy, CVGIP 40, 1987, 334-360.
782. M. Merickel, 3D reconstruction: the registration
problem, CVGIP 42, 1988, 206-219.
783. J.H. McIntosh and K.M. Mutch, Matching straight
lines, CVGIP 43, 1988, 386-408.
784. U. Sparmann, Design and test of a pattern matching
circuit, EIK 24, 1988, 329-338.
785. P. Kuner and B. Ueberreiter, Pattern recognition by
graph matching-combinatorial versus continuous
optimization, IJPRAI 2, 1988, 527-542.
786. H.S. Ranganath, Analysis of bilevel quantizers used
in binary image correlators, IVC 6, 1988, 193-197.
787. A. Goshtasby, Image registration by local
approximation methods, IVC 6, 1988, 255-261.
788. R.C. Luo, M.H. Lin, and R.S. Scherp, Dynamic multi-
sensor data fusion system for intelligent robots,
J-RA 4, 1988, 386-396.
789. T.M. Caelli and Z.Q. Liu, On the minimum number of
templates required for shift, rotation and size
invariant pattern recognition, PR 21, 1988, 205-216.
67
790. S. Lee and J.H. Kim, A fast computational method for
minimum square error transform, PRL 8, 1988,
143-146.
791. J.P. Secilla, N. Garcia, and J.L. Carrascosa,
Template location in noisy pictures, SP 14, 1988,
347-361.
792. Y. Wu, Application of dynamic programming for image
registration, SP 14, 1988, 387.
793. E.R. Davies, Tradeoffs between speed and accuracy in
two-stage template matching, SP 15, 1988, 351-363.
794. A. Goshtasby, G.C. Stockman, and C.V. Page, A
region-based approach to digital image registration
with subpixel accuracy, T-GRS 24, 1986, 390-399.
795. A. Goshtasby, Registration of images with geometric
distortions,
T-GRS 26, 1988, 60-64.
796. E.V. Slud, Subpixel translation-registration of
random fields,
T-GRS 26, 1988, 487-490.
797. T.L. Faber and E.M. Stokeley, Orientation of 3-D
structures in medical images, T-PAMI 10, 1988,
626-633.
798. G. Borgefors, Hierarchical chamfer matching: a
parametric edge matching algorithm, T-PAMI 10, 1988,
849-865.
799. R. Hummel and H. Wolfson, Affine invariant matching,
IUW, 351-364.
800. A. Rosenfeld, A. Margalit, and R. Sitaraman, Using
probabilistic domain knowledge to reduce the
expected computational cost of matching, IUW,
678-689.
801. Y. Lamdan, J.T. Schwartz, and H.J. Wolfson, Object
recognition by affine invariant matching, CVPR,
335-344.
802. D.B. Goldgof, T.S. Huang, and H. Lee, Feature
extraction and terrain matching, CVPR, 899-904.
68
803. C.H. Lee and G.P. Quek, Partial matching of two
dimensional shapes using random coding, ICPR, 64-68.
804. J. Hong and H.J. Wolfson, An improved model-based
matching method using footprints, ICPR, 72-78.
805. H. Maitre and Y. Wu, Elastic matching versus rigid
matching by use of dynamic programming, ICPR, 79-81.
806. J. Hong and X. Tan, A new approach to point pattern
matching, ICPR, 82-84.
807. S. Lee, J.H. Kim, and F.C.A. Groen, A fast
computational method for minimum square error
transform, ICPR, 392-394.
808. H. Yamada and K. Yamamoto, Recognition of
echocardiograms by dynamic programming matching
method, ICPR, 685-688.
809. Z.C. Xiang and L.Z. Hui, A heuristic search
algorithm for image registration, ICPR, 733-735.
810. (Z. Hong) and (P. Zhu), An improved SSDA applied in
target tracking, ICPR, 767-769.
811. P. Feng, A face based algorithm for matching two
line drawings of a polyhedron, ICPR, 782-784.
812. J. Wang and J. Li, ``Double'' subgraph isomorphism
method for matching LSI chip images, ICPR, 945-947.
813. (T. Zhang), (J. Peng), and (W. Lu), An optimized
searching algorithm for image matching, ICPR,
1265-1267.
814. C. Zhuang, Scale-based hierarchical description and
matching of waveforms, ICPR, 1268-1270.
815. E.E. Milios, Recovering shape deformation by an
extended circular image representation, ICCV, 20-29.
816. J. Weng, N. Ahuja, and T.S. Huang, Two-view
matching, ICCV, 64-73.
817. I.J. Cox and J.B. Kruskal, On the congruence of
noisy images to line segment models, ICCV, 252-258.
818. D. Shoham and S. Ullman, Aligning a model to an
image using minimal information, ICCV, 259-263.
69
819. W.B. Thompson and R.P. Whillock, Occlusion-sensitive
matching, ICCV, 285-289.
820. L. Quan and R. Mohr, Matching perspective images
using geometric constraints and perceptual grouping,
ICCV, 679-684.
821. P. Maragos, Optimal morphological approaches to
image matching and object detection, ICCV, 695-699.
822. A. Rosenfeld, J. Ornelas Jr., and Y. Hung, Hough
transform algorithms for mesh-connected SIMD
parallel processors, CVGIP 41, 1988, 293-305.
823. R.S. Conker, A dual plane variation of the Hough
transform for detecting non-concentric circles of
different radii, CVGIP 43, 1988, 115-132.
824. D.J. Hunt, L.W. Nolte, and W.H. Ruedger, Performance
of the Hough transform and its relationship to
statistical signal detection theory, CVGIP 43, 1988,
221-238.
825. J. Illingworth and J. Kittler, A survey of the Hough
transform, CVGIP 44, 1988, 87-116.
826. P.D. Picton, Hough transform references, IJPRAI 1,
1987, 413-425.
827. E.R. Davies, A modified Hough scheme for general
circle location, PRL 7, 1988, 37-43.
828. F.M. Rhodes, J.J. Dituri, G.H. Chapman, B.E.
Emerson, A.M. Soares, and J.I. Raffel, A monolithic
Hough transform processor based on reconfigurable
VLSI, T-PAMI 10, 1988, 106-110.
829. K. Hanahara, T. Maruyama, and T. Uchiyama, A real-
time processor for the Hough transform, T-PAMI 10,
1988, 121-125.
830. M. Maresca, M. Lavin, and H. Li, Parallel Hough
transform algorithms on polymorphic torus
architecture, MCV, 9-21.
831. A. Bandopadhay and J.L. Fu, Searching parameter
spaces with noisy linear constraints, CVPR, 550-555.
832. W. Niblack and D. Petkovic, On improving the
accuracy of the Hough transform: theory,
simulations, and experiments, CVPR, 574-579.
70
833. R. Wang, A.R. Hanson, and E.M. Riseman, Fast
extraction of ellipses, ICPR, 508-510.
834. S.D. Ma and X. Chen, Hough transform using slope and
curvature as local properties to detect arbitrary 2D
shapes, ICPR, 511-514.
835. L. Xu, A method for recognizing configurations
consisting of line sets and its application to
discrimination of seismic face structures, ICPR,
610-612.
836. L. Carrioli, M. Diani, and L. Lombardi, Hierarchical
Hough: advantages and automatic construction of the
models, ICPR, 791-794.
837. J. Lopez Krahe and P. Pousset, The detection of
parallel straight lines with the application of the
Hough transform, ICPR, 939-941.
838. K. Kamei, Y. Nakamura, and S. Abe, Fast shape
detection using Hough transform by raster operation,
ICPR, 1109-1112.
839. W.E.L. Grimson and D.P. Huttenlocher, On the
sensitivity of the Hough transform for object
recognition, ICCV, 700-706.
840. E. Tanaka and K. Tanaka, The tree-to-tree editing
problem, IJPRAI 2, 1988, 221-240.
841. O. Sykora and I. Vrto, Tight chip area lower bounds
for string matching, IPL 26, 1987, 117-119.
842. X. Huang, A lower bound for the edit-distance
problem under an arbitrary cost function, IPL 27,
1988, 319-321.
843. H.B. Mittal, A fast backtrack algorithm for graph
isomorphism, IPL 29, 1988, 105-110.
844. K. Krithivasan and R. Sitalakshmi, Efficient two-
dimensional pattern matching in the presence of
errors, IS 43, 1987, 169-184.
845. Z. Galil and R. Giancarlo, Data structures and
algorithms for approximate string matching, J.
Complexity 4, 1988, 33-72.
71
846. G.M. Landau and U. Vishkin, Fast string matching
with k differences, JCSS 37, 1988, 63-78.
847. V. Schoning, Graph isomorphism is in the low
hierarchy, JCSS 37, 1988, 312-323.
848. R. Schaback, On the expected sublinearity of the
Boyer-Moore algorithm, SIAM JC 17, 1988, 648-658.
849. J. Tarhio and E. Ukkonen, A greedy approximation
algorithm for constructing shortest common
superstrings, TCS 57, 1988, 131-145.
850. S. Umeyama, An eigendecomposition approach to
weighted graph matching problems, T-PAMI 10, 1988,
695-703.
851. P. Cooper, Structure recognition by connectionist
relaxation: formal analysis, IUW, 981-993.
852. J. Csirik and H. Bunke, Longest k-distance
substrings of two strings, ICPR, 69-71.
853. H. Yang and J.W. Tai, On isomorphisms of attributed
relational graphs for pattern analysis and a new
branch and bound algorithm, ICPR, 957-959.
854. L. Lovasz and M.D. Plummer, Matching Theory, North-
Holland, Amsterdam, 1986.
855. H. Ehrig, M. Nagl, G. Rozenberg, and A. Rosenfeld,
eds., Graph-Grammars and their Application to
Computer Science, Springer, Berlin, 1987.
G.2. Stereo
856. N.C. Griswold and C.P. Yeh, A new stereo vision
model based upon the binocular fusion concept,
CVGIP 41, 1988, 153-171.
857. M. Kass, Linear image features in stereopsis,
IJCV 1, 1988, 357-368.
858. M. Thonnat, Semantic interpretation of 3-D stereo
data: finding the main structures, IJPRAI 2, 1988,
509-525.
859. H.P. Trivedi, Can multiple views make up for lack of
camera registration?, IVC 6, 1988, 29-32.
72
860. N.H. Kim and A.C. Bovik, A contour-based stereo
matching algorithm using disparity continuity,
PR 21, 1988, 505-514.
861. R. March, Computation of stereo disparity using
regularization, PRL 8, 1988, 181-187.
862. K.L. Boyer and A.C. Kak, Structural stereopsis for
3-D vision,
T-PAMI 10, 1988, 144-166.
863. L.H. Chen and T.E. Boult, An integrated approach to
stereo matching, surface reconstruction and depth
segmentation using consistent smoothness
assumptions,
IUW, 166-176.
864. M.J. Hannah, Test results from SRI's stereo system,
IUW, 740-744.
865. L.B. Wolff, An introduction to generalized stereo
techniques, IUW, 756-768.
866. S.T. Barnard, Stochastic stereo matching over scale,
IUW, 769-778.
867. D. Weinshall, Qualitative vs. quantitative depth and
shape from stereo, IUW, 779-785.
868. H.S. Lim and T.O. Binford, Structural correspondence
in stereo vision, IUW, 794-808.
869. H.S. Lim and T.O. Binford, Curved surface
reconstruction using stereo correspondence, IUW,
809-819.
870. B. Kamgar-Parsi and R.D. Eastman, Calibration of a
stereo system with small relative angles, CVPR,
44-51.
871. J.J. Rodriguez and J.K. Aggarwal, Quantization error
in stereo imaging, CVPR, 153-158.
872. D. Weinshall, Qualitative depth from vertical and
horizontal binocular disparities, in agreement with
psychophysical evidence, CVPR, 159-164.
873. C.V. Stewart and C.R. Dyer, Local constraint
integration in a connectionist model of stereo
vision, CVPR, 165-170.
73
874. G.C. Roman, A.F. Laine, and K.C. Cox, Interactive
complexity control and high-speed stereo matching,
CVPR, 171-176.
875. T.E. Boult and L.H. Chen, Analysis of two new stereo
algorithms, CVPR, 177-182.
876. T.E. Weymouth and S. Moezzi, Wide base-line dynamic
stereo: approximation and refinement, CVPR,
183-188.
877. N. Ayache and C. Hansen, Rectification of images for
binocular and trinocular stereovision, ICPR, 11-16.
878. K. Okazaki, N. Kajimi, Y. Fukui, S. Tamura, and H.
Mitsumoto, Occlusion-free 3D recovery using mirror
images, ICPR, 17-19.
879. Y. Wu and H. Maitre, A new dynamic programming
method for stereovision ignoring epipolar geometry,
ICPR, 146-148.
880. N.M. Nasrabadi and J.L. Chiang, A stereo vision
technique using curve-segments and relaxation
matching, ICPR, 149-151.
881. K. Sugimoto, M. Takahashi, and F. Tomita, Scene
interpretation based on boundary representations of
stereo images, ICPR, 155-159.
882. S. Jin and Y. Li, Feature-based hierarchical
registration of 3-D vision using star structure and
circuits, ICPR, 323-325.
883. R. Horaud and T. Skordas, Structural matching for
stereo vision, ICPR, 439-445.
884. H. Takahashi and F. Tomita, Planarity constraint in
stereo matching, ICPR, 446-449.
885. M. Maruyama and S. Abe, Acquiring a polyhedral
structure through face extraction and verification,
ICPR, 579-581.
886. Y. Ohta, T. Yamamoto, and K. Ikeda, Collinear
trinocular stereo using two-level dynamic
programming, ICPR, 658-662.
887. (Y. Dong) and (Z. He), A fast and effective stereo
matching method-implementational aspects, ICPR,
669-671.
74
888. (C.X. Ji) and (Z.P. Zhang), Stereo match based on
linear feature, ICPR, 875-878.
889. D.B. Cooper, Y.P. Hung, and G. Taubin, A new model-
based stereo approach for 3D surface reconstruction
using contours on the surface pattern, ICCV, 74-83.
890. T.E. Boult and L.H. Chen, Synergistic smooth surface
stereo, ICCV, 118-122.
891. H. Takahashi and F. Tomita, Self-calibration of
stereo cameras, ICCV, 123-128.
892. C. Hansen, N. Ayache, and F. Lustman, Towards real-
time trinocular stereo, ICCV, 129-133.
893. C.V. Stewart and C.R. Dyer, The trinocular general
support algorithm: a three-camera stereo algorithm
for overcoming binocular matching errors, ICCV,
134-138.
894. M.A. Gennert, Brightness-based stereo matching,
ICCV, 139-143.
895. D. Weinshall, Application of qualitative depth and
shape from stereo, ICCV, 144-148.
896. I. Dinstein, G. Guy, J. Rabany, J. Tzelgov, and A.
Henik, On stereo image coding, ICPR, 357-359.
897. A. Blake and G. Brelstaff, Geometry from
specularities, ICCV, 394-403.
G.3. Motion
898. G.L. Scott, Local and Global Interpretation of
Moving Images, Morgan Kaufmann, San Mateo, CA, 1988.
899. M. Subbarao, Interpretation of Visual Motion: A
Computational Study, Morgan Kaufmann, San Mateo, CA,
1988.
900. W.N. Martin and J.K. Aggarwal, eds., Motion
Understanding: Robot and Human Vision, Kluwer,
Boston, MA, 1988.
901. C.H. Lee, Interpreting image curve from multiframes,
AI 35, 1988, 145-163.
75
902. D. Terzopoulos, A. Witkin, and M. Kass, Constraints
on deformable models: recovering 3D shape and
nonrigid motion, AI 36, 1988, 91-123.
903. R.C. Nelson and J.Y. Aloimonos, Finding motion
parameters from spherical motion fields (or the
advantages of having eyes in the back of your head),
Biological Cybernetics 58, 1988, 261-273.
904. C. Koch, J. Luo, and C. Mead, Computing motion using
analog and binary resistive networks,
Computer 21(3), 1988, 52-63.
905. H.H. Baker, Building, visualizing, and computing on
surfaces of evolution, CGA 8(4), 1988, 31-41.
906. B. Bhanu and W. Burger, Approximation of
displacement fields using wavefront region growing,
CVGIP 41, 1988, 306-322.
907. H. Tsukune and J.K. Aggarwal, Analyzing orthographic
projection of multiple 3D velocity vector fields in
optical flow, CVGIP 42, 1988, 157-191.
908. A. Mitiche, Three-dimensional space from optical
flow correspondence, CVGIP 42, 1988, 306-317.
909. X. Zhang, T.S. Huang, N. Ahuja, and R.M. Haralick, A
simplified linear optic flow-motion algorithm,
CVGIP 42, 1988, 334-344.
910. Y. Liu and T.S. Huang, Estimation of rigid body
motion using straight line correspondences,
CVGIP 43, 1988, 37-52.
911. W. Enkelmann, Investigations of multigrid algorithms
for the estimation of optical flow fields in image
sequences, CVGIP 43, 1988, 150-177.
912. J.P.F. D'Haeyer and I. Bruyland, Parallel
computation of image curve velocity fields,
CVGIP 43, 1988, 239-255.
913. Y. Liu and T.S. Huang, A linear algorithm for motion
estimation using straight line correspondences,
CVGIP 44, 1988, 35-57.
914. J.M. Fitzpatrick, The existence of geometrical
density-image transformations corresponding to
object motion, CVGIP 44, 1988, 155-174.
76
915. D.J. Heeger, Optical flow using spatiotemporal
filters, IJCV 1, 1988, 279-302.
916. B.K.P. Horn and E.J. Weldon Jr., Direct methods for
recovering motion, IJCV 2, 1988, 51-76.
917. M. Subbarao, Interpretation of image flow: rigid
curved surfaces in motion, IJCV 2, 1988, 77-96.
918. J. Dengler and M. Schmidt, The dynamic pyramid-a
model for motion analysis with controlled
continuity, IJPRAI 2, 1988, 275-286.
919. H.H. Nagel, Image sequences-ten (octal) years-from
phenomenology towards a theoretical foundation,
IJPRAI 2, 1988, 459-483.
920. O.D. Faugeras and F. Lustman, Motion and structure
from motion in a piecewise planar environment,
IJPRAI 2, 1988, 485-508.
921. H.H. Nagel, From image sequences towards conceptual
descriptions, IVC 6, 1988, 59-74.
922. C.G. Harris and J.M. Pike, 3D positional integration
from image sequences, IVC 6, 1988, 87-90.
923. D.W. Murray, From an image sequence to a recognized
polyhedral object, IVC 6, 1988, 107-120.
924. D.A. Castelow, D.W. Murray, G.L. Scott, and B.F.
Buxton, Matching Canny edgels to compute the
principal components of optic flow, IVC 6, 1988,
129-136.
925. Y.C. Kim and J.K. Aggarwal, Determining object
motion in a sequence of stereo images, J-RA 3, 1987,
599-614.
926. X. Zhuang, T.S. Huang, and R.M. Haralick, A simple
procedure to solve motion and structure from three
orthographic views, J-RA 4, 1988, 236-239.
927. E.D. Dickmanns and V. Graefe, Dynamic monocular
machine vision, MVA 1, 1988, 223-240.
928. E.D. Dickmanns and V. Graefe, Applications of
dynamic monocular machine vision, MVA 1, 1988,
241-261.
77
929. H.H. Chen and T.S. Huang, Maximal matching of 3-D
points for multiple-object motion estimation, PR 21,
1988, 75-90.
930. I.K. Sethi, V. Salari, and S. Vemuri, Feature point
matching in image sequences, PRL 7, 1988, 113-121.
931. J.K. Aggarwal and N. Nandhakumar, On the computation
of motion from sequences of images-a review, P-
IEEE 76, 1988, 917-935.
932. D. Shulman and J.Y. Aloimonos, (Non-)rigid motion
interpretation: a regularized approach, Proc. R.
Soc. Lond. B 233, 1988, 217-234.
933. N.M. Grzywacz and A.L. Yuille, Massively parallel
implementations of theories for apparent motion,
Spatial Vision 3, 1988, 15-44.
934. S.A. Mahmoud, M.S. Afifi, and R.J. Green,
Recognition and velocity computation of large moving
objects in images, T-ASSP 36, 1988, 1790-1791.
935. K. Kanatani, Transformation of optical flow by
camera rotation,
T-PAMI 10, 1988, 131-143.
936. A. Mitiche, S. Seida, and J.K. Aggarwal, Using
constancy of distance to estimate position and
displacement in space,
T-PAMI 10, 1988, 594-599.
937. A. Mitiche, R. Grisell, and J.K. Aggarwal, On
smoothness of a vector field-application to optical
flow, T-PAMI 10, 1988, 943-949.
938. A.M. Waxman and K. Wohn, Image flow theory: a
framework for 3-D inference from time-varying
imagery, ACV I, 165-224.
939. L. Mathies, R. Szeliski, and T. Kanade, Kalman
filter-based algorithms for estimating depth from
image sequences, IUW, 199-213.
940. B. Bhanu and W. Burger, Qualitative motion detection
and tracking of targets from a mobile platform, IUW,
289-318.
941. S.L. Gazit and G. Medioni, Contour correspondences
in dynamic imagery, IUW, 423-432.
78
942. S.L. Peng and G. Medioni, Spatio-temporal analysis
of an image sequence with occlusion, IUW, 433-442.
943. W.O. Franzen, Natural representation of motion in
space-time, IUW, 443-452.
944. R.C. Nelson and J.(Y.) Aloimonos, Using flow field
divergence for obstacle avoidance in visual
navigation, IUW, 548-567.
945. P. Balasubramanyam, Computation of motion in depth
parameters: a first step in stereoscopic motion
interpretation, IUW, 907-920.
946. E. Ito and J.(Y.) Aloimonos, Is correspondence
necessary for the perception of structure from
motion?, IUW, 921-929.
947. I. Pavlin, Motion from a sequence of images, IUW,
930-937.
948. R. Dutta, R. Manmatha, E.M. Riseman, and M.A.
Snyder, Issues in extracting motion parameters and
depth from approximate translational motion, IUW,
945-960.
949. A. Singh and P.K. Allen, A real time hierarchical
model for optic flow determination via
spatiotemporal frequency channels, IUW, 961-969.
950. L.R. Williams and A.R. Hanson, Translating optical
flow into token matches, IUW, 970-980.
951. H.H. Baker and R.C. Bolles, Generalizing epipolar-
plane image analysis on the spatiotemporal surface,
IUW, 1022-1030.
952. H.H. Baker, Building surfaces of evolution: the
weaving wall, IUW, 1031-1040.
953. L.R. Williams and A.R. Hanson, Depth from looming
structure, IUW, 1047-1051.
954. H.H. Baker and R.C. Bolles, Generalizing epipolar-
plane image analysis on the spatiotemporal surface,
CVPR, 2-9.
955. I.D. Horswill and W.B. Thompson, Acceleration-based
structure-from-motion, CVPR, 356-359.
79
956. L. Matthies, R. Szeliski, and T. Kanade, Incremental
estimation of dense depth maps from image sequences,
CVPR, 366-374.
957. D.B. Goldgof, H. Lee, and T.S. Huang, Motion
analysis of nonrigid surfaces, CVPR, 375-380.
958. J. Weng, N. Ahuja, and T.S. Huang, Closed-form
solution + maximum likelihood: a robust approach to
motion and structure estimation, CVPR, 381-386.
959. J. Weng, Y. Liu, T.S. Huang, and N. Ahuja,
Estimating motion/structure from line
correspondences: a robust linear algorithm and
uniqueness theorems, CVPR, 387-392.
960. X. Zhuang, R.M. Haralick, and Y. Zhao, From depth
and optical flow to rigid body motion, CVPR,
393-397.
961. C.H. Lee and T. Huang, Finding point correspondences
and determining motion of a rigid object from two
weak perspective views, CVPR, 398-403.
962. S. Negahdaripour and C.H. Yu, Robust recovery of
motion: effects of surface orientation and field of
view, CVPR, 404-410.
963. H. Shvaytser, Detecting motion in out-of-register
pictures, CVPR, 696-701.
964. P. Kahn, Integrating moving edge information along a
2D trajectory in densely sampled imagery, CVPR,
702-709.
965. G.S. Young and R. Chellappa, 3-D motion estimation
using a sequence of noisy stereo images, CVPR,
710-716.
966. A.M. Waxman, J. Wu, and F. Bergholm, Convected
activation profiles and the measurement of visual
motion, CVPR, 717-723.
967. J.S.J. Lee and C. Lin, A novel approach to real-time
motion detection, CVPR, 730-735.
968. W. Burger and B. Bhanu, Dynamic scene understanding
for autonomous mobile robots, CVPR, 736-741.
80
969. S.S. Chen, Dynamic scene analysis and the 8-point
algorithm, ICPR, 152-154.
970. Y. Liu and T.S. Huang, A linear algorithm for motion
estimation using straight line correspondences,
ICPR, 213-219.
971. R. Jain, Dynamic vision, ICPR, 226-235.
972. S.L. Peng and G. Medioni, Spatio-temporal analysis
for velocity estimation of contours in an image
sequence with occlusion, ICPR, 236-241.
973. O.D. Faugeras, N. Ayache, and Z. Zhang, A
preliminary investigation of the problem of
determining ego- and object motions from stereo,
ICPR, 242-246.
974. J. Weng, N. Ahuja, and T.S. Huang, Motion and
structure from point correspondences: a robust
algorithm for planar case with error estimation,
ICPR, 247-251.
975. S. Tsuji, Continuous image interpretation by a
moving viewer, ICPR, 514-519.
976. A. Mitiche, O. Faugeras, and J. Aggarwal, Counting
the line, ICPR, 693-695.
977. T.S. Huang and C.H. Lee, Motion and structure from
orthographic projections, ICPR, 885-887.
978. M. Jiang, Z.Q. Wu, and Y.S. Wu, Recursively
estimating optical flow from a noisy image sequence,
ICPR, 888-890.
979. A. Mitiche and G. Habelrih, Interpreting the
straight line using angular relations, ICPR,
1053-1055.
980. H. Niemann, J. Arnold, and G. Sagerer, On the
accuracy of optical flow computation using global
optimization, ICPR, 1094-1096.
981. A. Mitiche, Interpretation of optical flow
correspondence, ICPR, 1097-1099.
982. (W. Liu), (J. Liu), and (F. Wan), The theorem
analysis on optical flow estimation from three
frames of image sequences, ICPR, 1103-1105.
81
983. C.H. Lee, Structure and motion from two perspective
views via planar patch, ICCV, 158-164.
984. F. Bergholm, A theory on optical velocity fields and
ambiguous motion of curves, ICCV, 165-176.
985. Z. Zhang, O.D. Faugeras, and N. Ayache, Analysis of
a sequence of stereo scenes containing multiple
moving objects using rigidity constraints, ICCV,
177-186.
986. R.C. Nelson and J.(Y.) Aloimonos, Using flow field
divergence for obstacle avoidance: towards
qualitative vision, ICCV, 188-196.
987. C. Jerian and R. Jain, Polynomial methods for
structure from motion, ICCV, 197-206.
988. R. Szeliski, Estimating motion from sparse range
data without correspondence, ICCV, 207-216.
989. H.H. Baker, Surface reconstruction from image
sequences, ICCV, 334-343.
990. A.L. Yuille and N.M. Grzywacz, The motion coherence
theory, ICCV, 344-353.
991. J. Konrad and E. Dubois, Multigrid Bayesian
estimation of image motion fields using stochastic
relaxation, ICCV, 354-362.
992. J. Arnspang, Optic acceleration, ICCV, 364-373.
993. J.H. Duncan and T.C. Chou, Temporal edges: the
detection of motion and the computation of optical
flow, ICCV, 374-382.
994. J.M. Loomis and D.W. Eby, Perceiving structure from
motion: failure of shape constancy, ICCV, 383-391.
995. D.J. Heeger and G. Hager, Egomotion and the
stabilized world, ICCV, 435-440.
996. L.R. Williams and A.R. Hanson, Translating optical
flow into token matches and depth from looming,
ICCV, 441-448.
997. M.E. Spetsakis and J.(Y.) Aloimonos, Optimal
computing of structure from motion using point
correspondences in two frames, ICCV, 449-453.
82
998. J.J. Little, H.H. Bulthoff, and T. Poggio, Parallel
optical flow using local voting, ICCV, 454-459.
999. D. Lee, A. Papageorgiou, and G.W. Wasilkowski,
Computational aspects of determining optical flow,
ICCV, 612-618.
1000. S.V. Fogel, A nonlinear approach to the motion
correspondence problem, ICCV, 619-628.
1001. S. Carlsson, Information in the geometric structure
of retinal flow fields, ICCV, 629-633.
1002. H.H. Chen, Motion and depth from binocular
orthographic views, ICCV, 634-640.
1003. B. Shahraray and M.K. Brown, Robust depth estimation
from optical flow, ICCV, 641-650.
1004. J.L. Barron, A.D. Jepson, and J.K. Tsotsos, The
feasibility of motion and structure computations,
ICCV, 651-657.
1005. J.L. Crowley, P. Stelmaszyk, and C. Discours,
Measuring image flow by tracking edge-lines, ICCV,
658-664.
1006. M. Kabuka, E. McVey, and P. Shironoshita, An
adaptive approach to video tracking, J-RA 4, 1988,
228-236.
1007. M. Lindenbaum and A.M. Bruckstein, Determining
object shape from local velocity measurements,
PR 21, 1988, 591-606.
1008. P.Y. Simard and G.E. Mailloux, A projection operator
for the restoration of divergence-free vector
fields, T-PAMI 10, 1988, 248-256.
1009. R.A. Brooks, A.M. Flynn, and T. Marill, Self
calibration of motion and stereo vision for mobile
robot navigation, IUW, 398-410.
1010. N.H. Goddard, Recognizing animal motion, IUW,
938-944.
1011. Y. Liu, T.S. Huang, and O.D. Faugeras, Determination
of camera location from 2D to 3D line and point
correspondences, CVPR, 82-88.
83
1012. C. Narathong, R.M. In~igo, J.F. Doner, and E.S.
McVey, Motion-vision architectures, CVPR, 411-416.
1013. S.D. Blostein and T.S. Huang, A tree search
algorithm for target detection in image sequences,
CVPR, 690-695.
1014. K.S. Roberts, G. Bishop, and S.K. Ganapathy, Smooth
interpolation of rotational motions, CVPR, 724-729.
1015. D. Keren, S. Peleg, and R. Brada, Image sequence
enhancement using sub-pixel displacements, CVPR,
742-746.
1016. J.K. Hahn, Realistic animation of rigid bodies,
SIGGRAPH, 299-308.
1017. L.S. Brotman and A.N. Netravali, Motion
interpolation by optimal control, SIGGRAPH, 309-315.
1018. C. Huang, Y. Li, and T. Chang, Solving the stiff
problem in computer vision by trade-off
optimization, ICPR, 160-162.
1019. (S. Chen), (Z. Li), and (G. Zhang), A renovated
algorithm for extracting moving target from
background in real time video tracking system, ICPR,
646-648.
1020. R. S. Jasinschi, Space-time sampling with motion
uncertainty: constraints on space-time filtering,
ICCV, 428-434.
H. Shape
H.1. Representation
1021. S.S. Iyengar, N.S.V. Rao, R.L. Kashyap, and V.K.
Vaishnavi, Multidimensional data structures: review
and outlook, in M.C. Yovits, ed., Advances in
Computers 27, Academic Press, Boston, MA, 1988,
69-119.
1022. J. O'Rourke, Uniqueness of orthogonal connect-the-
dots, CM, 97-104.
1023. F. Bonafatti and L. Cavazza, SECT: an effective
coding technique for polygonal geographic data,
C&G 12, 1988, 503-513.
84
1024. H. Samet and R.E. Webber, Hierarchical data
structures and algorithms for computer graphics,
CGA 8(4), 1988, 59-75.
1025. H. Samet and R.E. Webber, Hierarchical data
structures and algorithms for computer graphics.
Part I: Fundamentals, CGA 8(5), 1988, 48-68.
1026. S.D. Kim, J.H. Lee, and J.K. Kim, A new chain-coding
algorithm for binary images using run-length codes,
CVGIP 41, 1988, 114-128.
1027. A.Y. Wu, S.K. Bhaskar, and A. Rosenfeld, Parallel
computation of geometric properties from the medial
axis transform, CVGIP 41, 1988, 323-332.
1028. S.K. Bhaskar, A. Rosenfeld, and A.Y. Wu, Parallel
processing of regions represented by linear
quadtrees, CVGIP 42, 1988, 371-380.
1029. P.K. Ghosh, A mathematical model for shape
description using Minkowski operators, CVGIP 44,
1988, 239-269.
1030. H. Samet, Hierarchical representations of
collections of small rectangles, Computing
Surveys 20, 1988, 271-309.
1031. C. Mathieu, C. Puech, and H. Yahia, Average
efficiency of data structures for binary image
processing, IPL 26, 1987, 89-93.
1032. A.Y. Wu and A. Rosenfeld, Parallel processing of
encoded bit strings, PR 21, 1988, 559-565.
1033. C.A. Shaffer, A formula for computing the number of
quadtree node fragments created by a shift, PRL 7,
1988, 45-49.
1034. M. Lindenbaum, Compression of chain codes using
digital straight line sequences, PRL 7, 1988,
167-171.
1035. S. Menon, P. Gao, and T. Smith, Multi-colored
quadtrees for GIS: exploiting bit-parallelism for
rapid boolean overlay, PRL 8, 1988, 171-179.
1036. S.N. Biswas, S.K. Pal, and D. Dutta Majumder, Binary
contour coding using Bezier approximation, PRL 8,
1988, 237-249.
85
1037. M. Vembar and S. Mohan, Tree encoding of line
drawings, T-ASSP 36, 1988, 1542-1549.
1038. T. Kim and D.L. Neuhoff, Delta codes for line
drawings, T-IT 34, 1988, 400-416.
1039. D.R. Fuhrmann, Quadtree traversal algorithms for
pointer-based and depth-first representations, T-
PAMI 10, 1988, 955-960.
1040. Y. Cheng, S.S. Iyengar, and R.L. Kashyap, A new
method of image compression using irreducible covers
of maximal rectangles, T-SE 14, 1988, 651-658.
1041. A. Unnikrishnan, P. Shankar, and Y.V. Venkatesh,
Threaded linear hierarchical quadtrees for
computation of geometric properties of binary
images, T-SE 14, 1988, 659-665.
1042. J. Ponce, Ribbons, symmetries, and skewed
symmetries, IUW, 1074-1079.
1043. B.G. Mobasseri, Soft-linked quadtree: a cascaded
ring structure using flexible linkage concept, CVPR,
622-627.
1044. N.P. Fan and C.C. Li, Computing quadtree medial axis
transform by a multi-layered pyramid of LISP-
processor arrays, CVPR, 628-634.
1045. Y. Nakamura, S. Abe, Y. Ohsawa, and M. Sakauchi,
MD-tree: a balanced hierarchical data structure for
multi-dimensional data with highly efficient dynamic
characteristics, ICPR, 375-378.
1046. (C. Chen) and (H. Zou), Linear binary tree, ICPR,
576-578.
1047. J. Punys, Hierarchical 2D shape representation and
compression by rectangles, ICPR, 675-677.
1048. E. Kawaguchi and R.I. Taniguchi, Coded DF-expression
for binary and multi-valued picture, ICPR,
1159-1163.
86
H.2. Contour approximation
1049. J.P. Bixler, L.T. Watson, and J.P. Sanford, Spline-
based recognition of straight lines and curves in
engineering line drawings, IVC 6, 1988, 262-269.
1050. P. Meer, E.S. Baugher, and A. Rosenfeld, Extraction
of trend lines and extrema from multiscale curves,
PR 21, 1988, 217-226.
1051. O. Baruch and M.H. Loew, Segmentation of two-
dimensional boundaries using the chain code, PR 21,
1988, 581-589.
1052. P.T. Hadingham, Symbolic description of edges using
a geometric relaxation technique, PRL 7, 1988,
173-179.
1053. J.G. Leu and L. Chen, Polygonal approximation of 2-D
shapes through boundary merging, PRL 7, 1988,
231-238.
1054. A. Sirjani and G.R. Cross, An algorithm for
polygonal approximation of a digital object, PRL 7,
1988, 299-303.
1055. K.H. Cheng and W.H. Hsu, Parallel algorithms for
corner following on digital curves, PRL 8, 1988,
47-53.
1056. N. Kehtarnavaz and R.J.P. de Figuereido, A 3-D
contour segmentation scheme based on curvature and
torsion, T-PAMI 10, 1988, 707-712.
1057. H. Imai and M. Iri, Polygonal approximations of a
curve-formulations and algorithms, CM, 71-86.
1058. A. Melkman and J. O'Rourke, On polygonal chain
approximation, CM, 87-95.
1059. C.H. Teh and R.T. Chin, A scale-independent dominant
point detection algorithm, CVPR, 229-234.
1060. L. O'Gorman, An analysis of feature detectability
from curvature estimation, CVPR, 235-240.
1061. N. Kiryati and A. Bruckstein, Gray-levels can
improve the performance of binary image digitizers,
CVPR, 562-567.
87
1062. P.P. Cortopassi and T.C. Rearick, A computationally
efficient algorithm for shape decomposition, CVPR,
597-601.
1063. C. Arcelli and G. Sanniti di Baja, Picture editing
by simultaneously smoothing figure protrusions and
dents, ICPR, 948-950.
1064. K. Deguchi, Multi-scale curvatures for contour
feature extraction, ICPR, 1113-1115.
1065. L. O'Gorman, Curvilinear feature detection from
curve estimation, ICPR, 1116-1119.
1066. D.G. Lowe, Organization of smooth image curves at
multiple scales, ICCV, 558-567.
H.3. Toplogy, etc.
1067. L.N. Stout, Two discrete forms of the Jordan Curve
Theorem, American Mathematical Monthly 95, 1988,
332-336.
1068. P.C.K. Kwok, A thinning algorithm by contour
generation, Comm. ACM 31, 1988, 1314-1324.
1069. J.R. Parker, Extracting vectors from raster images,
C&G 12, 1988, 75-79.
1070. R.M.K. Sinha, A width-independent algorithm for
character skeleton estimation, CVGIP 40, 1987,
388-397.
1071. Z. Cai, Restoration of binary images using contour
direction chain codes description, CVGIP 41, 1988,
101-106.
1072. G.Y. Tang and B. Lien, Region filling with the use
of the discrete Green theorem, CVGIP 42, 1988,
297-305.
1073. A.M. Vossepoel, A note on ``Distance transformations
in digital images'', CVGIP 43, 1988, 88-97.
1074. A. Bogomolny, Digital geometry may not be discrete,
CVGIP 43, 1988, 205-220.
1075. S.M. Ali and R.E. Burge, A new algorithm for
extracting the interior of bounded regions based on
chain coding, CVGIP 43, 1988, 256-264.
88
1076. C. Arcelli and G. Sanniti di Baja, Finding local
maxima in a pseudo-Euclidean distance transform,
CVGIP 43, 1988, 361-367.
1077. P.P. Das and B.N. Chatterji, A note on ``Distance
transformations in arbitrary dimensions'', CVGIP 43,
1988, 368-385.
1078. C. Ronse, Minimal test patterns for connectivity
preservation in parallel thinning algorithms for
binary digital images, Discrete Applied
Mathematics 21, 1988, 67-79.
1079. A.F. Lochovsky, Algorithms for realtime component
labelling of images, IVC 6, 1988, 21-27.
1080. S. Menon and T.R. Smith, Boundary matching algorithm
for connected component labelling using linear
quadtrees, IVC 6, 1988, 215-224.
1081. D. Campbell and J. Higgins, Matrix method for
finding sets of contiguous non-zero elements in a
2-dimensional array-II, PR 21, 1988, 451-453.
1082. L.J. van Vliet and B.J.H. Verwer, A contour
processing method for fast binary neighbourhood
operations, PRL 7, 1988, 27-36.
1083. Y.S. Chen and W.H. Hsu, A modified fast parallel
algorithm for thinning digital patterns, PRL 7,
1988, 99-106.
1084. P.P. Das and B.N. Chatterji, Knight's distance in
digital geometry, PRL 7, 1988, 215-226.
1085. U. Eckhardt, A note on Rutovitz' method for parallel
thinning, PRL 8, 1988, 35-38.
1086. R.A. Melter, Convexity is necessary-a correction,
PRL 8, 1988, 59.
1087. O. Baruch, Line thinning by line following, PRL 8,
1988, 271-276.
1088. H. Samet and M. Tamminen, Efficient component
labeling of images of arbitrary dimension
represented by linear bintrees, T-PAMI 10, 1988,
579-587.
89
1089. S. Suzuki, Graph-based vectorization method for line
patterns, CVPR, 616-621.
1090. P. Maragos, Morphology-based symbolic image
modeling, multi-scale nonlinear smoothing, and
pattern spectrum, CVPR, 766-773.
1091. X.D. Yang, Design of fast connected components
hardware, CVPR, 937-944.
1092. M. Maresca, H. Li, and M. Lavin, Connected component
labeling on polymorphic torus architecture, CVPR,
951-956.
1093. J. Pineda, A parallel algorithm for polygon
rasterization, SIGGRAPH, 17-20.
1094. B.J.H. Verwer, Improved metrics in image processing
applied to the Hilditch skeleton, ICPR, 137-142.
1095. T. Kasvand, Total 8-connectivity of the square
raster, ICPR, 354-356.
1096. Q.Z. Ye, The signed Euclidean distance transform and
its applications, ICPR, 495-499.
1097. G. Borgefors and G. Sanniti di Baja, Skeletonizing
the distance transform on the hexagonal grid, ICPR,
504-507.
1098. Y. Xia, Minimizing the computing complexity of
iterative sequential thinning algorithm, ICPR,
721-723.
1099. U. Eckhardt and G. Maderlechner, The structure of
irreducible digital sets obtained by thinning
algorithms, ICPR, 727-729.
1100. W. Gong and G. Bertrand, A fast skeletonization
algorithm using derived grids, ICPR, 776-778.
1101. Y.Y. Zhang and P.S.P. Wang, A maximum algorithm for
thinning digital patterns, ICPR, 942-944.
1102. Y.Y. Zhang and P.S.P. Wang, A modified parallel
thinning algorithm, ICPR, 1023-1025.
1103. X. Wang and G. Bertrand, An algorithm for a
generalized distance transformation based on
Minkowski operations, ICPR, 1164-1168.
90
1104. J.M. Gauch and S.M. Pizer, Image description via the
multiresolution intensity axis of symmetry, ICCV,
269-274.
H.4. Properties
1105. M. Leyton, A process-grammar for shape, AI 34, 1988,
213-247.
1106. L. Dorst and A.W.M. Smeulders, Length estimators for
digitized contours, CVGIP 40, 1987, 311-333.
1107. M.L.P. van Lierop, C.W.A.M. van Overveld, and H.M.M.
van de Wetering, Line rasterization algorithms that
satisfy the subset line property, CVGIP 41, 1988,
210-228.
1108. D.W. Paglieroni and A.K. Jain, Control point
transforms for shape representation and measurement,
CVGIP 42, 1988, 87-111.
1109. H. Bandemer and A. Kraut, On a fuzzy-theory-based
computer-aided particle shape description, Fuzzy
Sets Systems 27, 1988, 105-113.
1110. G. Gibbon, Weighted chord functions, PR 21, 1988,
367-379.
1111. J.M. Cordier and T. Porter, Pattern recognition and
categorical shape theory, PRL 7, 1988, 73-76.
1112. J. Xu and Y.H. Yang, A new technique for shape
analysis using orthogonal polynomials, PRL 7, 1988,
191-197.
1113. E.R. Davies, A hybrid sequential-parallel approach
to accurate circle centre location, PRL 7, 1988,
279-290.
1114. L.T. Koczy, On the description of relative position
of fuzzy objects, PRL 8, 1988, 21-28.
1115. C.H. Teh and R.T. Chin, On image analysis by the
methods of moments, T-PAMI 10, 1988, 496-513.
1116. C. Berenstein and D. Lavine, On the number of
digital straight line segments, T-PAMI 10, 1988,
880-887.
91
1117. P. Eades, Symmetry finding algorithms, CM, 41-51.
1118. J.D. Radke, On the shape of a set of points, CM,
105-136.
1119. Y. Hel-Or, S. Peleg, and H. Zabrodsky, How to tell
right from left, CVPR, 304-309.
1120. C.H. Teh and R.T. Chin, On image analysis by the
method of moments, CVPR, 556-561.
1121. J. Robinson and C.E. Kim, Point symmetry of convex
digital regions, CVPR, 604-609.
1122. M. Lindenbaum, J. Koplowitz, and A. Bruckstein, On
the number of digital straight lines on an NxN grid,
CVPR, 610-615.
1123. N. Kiryati, Calculating geometric properties of
objects represented by Fourier coefficients, CVPR,
641-646.
1124. S.X. Li and M.H. Loew, Analysis and modeling of
digitized straight-line segments, ICPR, 294-296.
1125. A. Krzyzak, S.Y. Leung, and C.Y. Suen,
Reconstruction of two dimensional patterns by
Fourier descriptors, ICPR, 555-558.
1126. S. Forchhammer and C.E. Kim, Digital squares, ICPR,
672-674.
1127. A. Kundu and P. Bahl, Recognizing conic shape: a
nonlinear iterative approach, ICPR, 795-797.
H.5. Recognition
1128. L. Gupta and M.D. Srinath, Invariant planar shape
recognition using dynamic alignment, PR 21, 1988,
235-239.
1129. J.G. Leu and I.N. Huang, Planar shape matching based
on binary tree shape recognition, PR 21, 1988,
607-622.
1130. A. Sluzek, Using moment invariants to recognize and
locate partially occluded 2D objects, PRL 7, 1988,
253-257.
92
1131. J.L. de Bougrenet de la Tocnaye and F. Ghorbel,
Scale-rotation invariant pattern recognition applied
to image data compression, PRL 8, 1988, 55-58.
1132. J.W. Gorman, O.R. Mitchell, and F.P. Kuhl, Partial
shape recognition using dynamic programming, T-
PAMI 10, 1988, 257-266.
1133. H. Wechsler and G.L. Zimmerman, 2-D invariant object
recognition using distributed associative memory,
T-PAMI 10, 1988, 811-821.
1134. A.P. Reeves, R.J. Prokop, S.E. Andrews, and F.P.
Kuhl, Three-dimensional shape analysis using moments
and Fourier descriptors,
T-PAMI 10, 1988, 937-943.
1135. J. Segen, Learning structural descriptions of shape,
MVAAS, 257-271.
1136. H.S. Todd, A descriptive pattern recognition system
applied to pictorial patterns where the
discriminating information is carried in the object
shape, CVPR, 430-436.
1137. H.A. Almohamad, A pattern recognition algorithm
based on the Rapid Transform, CVPR, 445-449.
1138. F.Y. Shih and O.R. Mitchell, Automated fast
recognition and location of arbitrarily shaped
objects by image morphology, CVPR, 774-779.
1139. A. Khotanzad and Y.H. Hong, Rotation invariant
pattern recognition using Zernike moments, ICPR,
326-328.
1140. Q. Zhu and L. Poh, A transformation-invariant
recursive subdivision method for shape analysis,
ICPR, 833-835.
1141. S.A. Segenreich, How to build a lattice nesting in
any arbitrary direction, C&G 12, 1988, 255-259.
1142. S.Y.R. Li, Reconstruction of polygons from
projections, IPL 28, 1988, 235-240.
1143. R.C. Brost, Automatic grasp planning in the presence
of uncertainty, IJRR 7(1), 1988, 3-17.
93
1144. J.C. Trinkle, J.M. Abel, and R.P. Paul, An
investigation of frictionless enveloping grasping in
the plane, IJRR 7(3), 1988, 33-40.
1145. M.A. Erdmann and M.T. Mason, An exploration of
sensorless manipulation, J-RA 4, 1988, 369-379.
1146. M.A. Peshkin and A.C. Sanderson, Planning robotic
manipulation strategies for workpieces that slide,
J-RA 4, 1988, 524-531.
1147. B. Grunbaum and G.C. Shephard, Tilings and Patterns,
Freeman, San Francisco, CA, 1987.
@bold H primed@. Geometry
@bold H primed@.1. General and miscellaneous
1148. Proceedings of the Fourth Annual Symposium on
Computational Geometry (Urbana-Champaign, IL, June
6-8, 1988), ACM Press, New York, 1988.
1149. G.T. Toussaint, ed., Computational Morphology,
North-Holland, Amsterdam, 1988.
1150. G.T. Toussaint, guest ed., Computational Geometry,
VC 3 (6), May 1988, 321-388.
1151. C.K. Yap, guest ed., Special Issue: ACM Symposium
on Computational Geometry, Waterloo, DCG 3 (3),
1988, 193-293.
1152. J. O'Rourke, Computational geometry column #3,
Computer Graphics 21, 1987, 314-315.
1153. J. O'Rourke, The computational geometry column #4,
Computer Graphics 22, 1988, 111-112.
1154. B. Chazelle, An algorithm for segment-dragging and
its implementation, Algorithmica 3, 1988, 205-221.
1155. J. Bhasker and S. Sahni, A linear algorithm to find
a rectangular dual of a planar triangulated graph,
Algorithmica 3, 1988, 247-278.
1156. A. Aggarwal, B. Chazelle, L. Guibas, C. O'Dunlaing,
and C. Yap, Parallel computational geometry,
Algorithmica 3, 1988, 293-327.
94
1157. R.G. Karlsson and M.H. Overmars, Scanline algorithms
on a grid, BIT 28, 1988, 227-241.
1158. L. Deneen and G. Shute, Polygonizations of point
sets in the plane, DCG 3, 1988, 77-87.
1159. H. Alt, K. Mehlhorn, H. Wagener, and E. Welzl,
Congruence, similarity, and symmetries of geometric
objects, DCG 3, 1988, 237-256.
1160. D.G. Kirkpatrick, Establishing order in planar
subdivisions, DCG 3, 1988, 267-280.
1161. R.G. Karlsson and M.H. Overmars, Normalized divide-
and-conquer: a scaling technique for solving
multi-dimensional problems, IPL 26, 1988, 307-312.
1162. M.D. Katz and D.J. Volper, Geometric retrieval in
parallel, JPDC 5, 1988, 92-102.
1163. M. Lu and P. Varman, Optimal algorithms for
rectangle problems on a mesh-connected computer,
JPDC 5, 1988, 154-171.
1164. T. Asano and H. Umeo, Systolic algorithms for
computing the visibility polygon and triangulation
of a polygonal region, PC 6, 1988, 209-216.
1165. I. Stojmenovic and M. Miyakawa, An optimal parallel
algorithm for solving the maximal elements problem
in the plane, PC 7, 1988, 249-251.
1166. F. Dehne, Solving visibility and separability
problems on a mesh-of-processors, VC 3, 1988,
356-370.
1167. K.L. Clarkson, Application of random sampling in
computational geometry, II, CG, 1-11.
1168. H. Edelsbrunner, L.J. Guibas, and M. Sharir, The
complexity of many faces in arrangements of lines
and of segments, CG, 44-55.
1169. H. Edelsbrunner, L. Guibas, J. Hershberger, R.
Seidel, M. Sharir, J. Snoeyink, and E. Welzl,
Implicitly representing arrangements of lines or
segments, CG, 56-69.
1170. B. Buchberger, Algebraic methods for non-linear
computational geometry, CG, 81-82.
95
1171. L.W. Ericson and C.K. Yap, The design of LineTool, a
geometric editor, CG, 83-92.
1172. D. Dobkin and D. Silver, Recipes for geometry and
numerical analysis-Part I: An empirical study, CG,
93-105.
1173. C.M. Hoffmann, J.E. Hopcroft, and M.S. Karasick,
Towards implementing robust geometric computations,
CG, 106-117.
1174. H. Edelsbrunner and E.P. Mucke, Simulation of
simplicity: a technique to cope with degenerate
cases in geometric algorithms, CG, 118-133.
1175. C.K. Yap, A geometric consistency theorem for a
symbolic perturbation scheme, CG, 134-142.
1176. R. Cole and M.T. Goodrich, Optimal parallel
algorithms for polygon and point-set problems, CG,
201-210.
@bold H primed@.2. Convexity, visibility, intersections,
search, etc.
1177. D.P. Dobkin, D.L. Souva'ine, and C.J. Van Wyk,
Decomposition and intersection of simple splinegons,
Algorithmica 3, 1988, 473-485.
1178. M.J. Atallah and M.T. Goodrich, Parallel algorithms
for some functions of two convex polygons,
Algorithmica 3, 1988, 535-548.
1179. B. Joe and R.B. Simpson, Corrections to Lee's
visibility polygon algorithm, BIT 27, 1987, 458-473.
1180. H. Mannila and D. Wood, A note on the largest empty
rectangle problem, BIT 28, 1988, 179-183.
1181. R.B. Zubiaga, On the intersection of two planar
polygons, C&G 12, 1988, 401-403.
1182. P. Widmayer and D. Wood, A time- and space-optimal
algorithm for Boolean mask operations for orthogonal
polygons, CVGIP 41, 1988, 14-27.
1183. A. Wiernik and M. Sharir, Planar realizations of
nonlinear Davenport-Schinzel sequences, DCG 3, 1988,
15-47.
96
1184. D. Avis and R. Wenger, Polyhedral line transversals
in space, DCG 3, 1988, 257-265.
1185. D. Wood and C.K. Yap, The orthogonal convex skull
problem, DCG 3, 1988, 349-365.
1186. A.A. Melkman, On-line construction of the convex
hull of a simple polyline, IPL 25, 1987, 11-12.
1187. X. Shen and H. Edelsbrunner, A tight lower bound on
the size of visibility graphs, IPL 26, 1987, 61-64.
1188. M.T. Goodrich, Finding the convex hull of a sorted
point set in parallel, IPL 26, 1987, 173-179.
1189. J. Matousek, Line arrangements and range search,
IPL 27, 1988, 275-280.
1190. W.P. Chin and S. Ntafos, Optimum watchman routes,
IPL 28, 1988, 39-44.
1191. F. Dehne and I. Stojmenovic, An O(n) time algorithm
for the ECDF searching problem for arbitrary
dimensions on a mesh-of-processors, IPL 28, 1988,
67-70.
1192. D.W. Wang and Y.S. Kuo, A study on two geometric
location problems, IPL 28, 1988, 281-286.
1193. M. Reichling, On the detection of a common
intersection of k convex objects in the plane,
IPL 29, 1988, 25-29.
1194. M.H. Overmars, Efficient data structures for range
searching on a grid, J. Algorithms 9, 1988, 254-275.
1195. M.H. Overmars and D. Wood, On rectangular
visibility, J. Algorithms 9, 1988, 372-390.
1196. L.W. Brinn, An application of linear programming to
object location in r dimensions, PRL 7, 1988, 51-57.
1197. B. Chazelle, A functional approach to data
structures and its use in multidimensional
searching, SIAM JC 17, 1988, 427-462.
1198. H. Edelsbrunner and S.S. Skiena, Probing convex
polygons with x-rays, SIAM JC 17, 1988, 870-882.
97
1199. R. Miller and Q.F. Stout, Efficient parallel convex
hull algorithms,
T-COMP 37, 1988, 1605-1618.
1200. P. Houthuys, Box Sort, a multidimensional binary
sorting method for rectangular boxes, used for quick
range searching,
VC 3, 1987, 236-249.
1201. J.A. Dean, A. Lingas, and J.R. Sack, Recognizing
polygons, or how to spy, VC 3, 1988, 344-355.
1202. K.L. Clarkson and P.W. Shor, Algorithms for
diametral pairs and convex hulls that are optimal,
randomized, and incremental, CG, 12-17.
1203. E. Welzl, Partition trees for triangle counting and
other range searching problems, CG, 23-33.
1204. M. Golin and R. Sedgewick, Analysis of a simple yet
efficient convex hull algorithm, CG, 153-163.
1205. M.H. Overmars and E. Welzl, New methods for
computing visibility graphs, CG, 164-171.
1206. D.P. Dobkin, H. Edelsbrunner, and M.H. Overmars,
Searching for empty convex polygons, CG, 224-228.
1207. R. Miller and Q.F. Stout, Convexity algorithms for
parallel machines, CVPR, 918-924.
1208. D. Avis and D. Rappaport, Computing monotone simple
circuits in the plane, CM, 13-23.
1209. G.J.E. Rawlins and D. Wood, Ortho-convexity and its
generalizations, CM, 137-152.
1210. J.R. Sack and G.T. Toussaint, Guard placement in
rectilinear polygons, CM, 153-175.
1211. K. Murakami, H. Koshimizu, and K. Hasegawa, An
algorithm to extract convex hull on O-K Hough
transform space, ICPR, 500-503.
@bold H primed@.3. Separability, covering, decomposition,
packing, layout, etc.
1212. C.K. Yap, Parallel triangulation of a polygon in two
calls to the trapezoidal map, Algorithmica 3, 1988,
279-288.
98
1213. P. Czerwinski and V. Ramachandran, Optimal VLSI
graph embeddings in variable aspect ratio
rectangles, Algorithmica 3, 1988, 487-510.
1214. A. Lingas, C. Levcopoulos, and J. Sack, Algorithms
for minimum length partitions of polygons, BIT 27,
1987, 474-479.
1215. S. Kundu, The equivalence of the subregion
representation and the wall representation for a
certain class of rectangular dissections, Comm.
ACM 31, 1988, 752-763.
1216. J.B.G. Frenk and G. Galambos, Hybrid next-fit
algorithm for the two-dimensional rectangle bin-
packing problem, Computing 39, 1987, 201-217.
1217. R. Pollack, M. Sharir, and S. Sifrony, Separating
two simple polygons by a sequence of translations,
DCG 3, 1988, 123-136.
1218. B.S. Baker, E. Grosse, and C.S. Rafferty, Nonobtuse
triangulation of polygons, DCG 3, 1988, 147-168.
1219. J.A. Wiseman and P.R. Wilson, A Sylvester theorem
for conic sections, DCG 3, 1988, 295-305.
1220. N. Megiddo, On the complexity of polyhedral
separability, DCG 3, 1988, 325-337.
1221. G. Scheithauer and J. Terno, The partition of a
square in rectangles with equal areas, EIK 24, 1988,
189-200.
1222. H. Edelsbrunner and F.P. Preparata, Minimal
polygonal separation, Information Computation 77,
1988, 218-232.
1223. C.A. Wang, An O(log n) time parallel algorithm for
triangulating a set of points in the plane, IPL 25,
1987, 55-60.
1224. S.S. Pinter and Y. Wolfstahl, Embedding ternary
trees in VLSI arrays, IPL 26, 1987, 187-191.
1225. R. Liu and S. Ntafos, On decomposing polygons into
uniformly monotone parts, IPL 27, 1988, 85-89.
1226. A.A. Bertossi, Parallel circle-cover algorithms,
IPL 27, 1988, 133-139.
99
1227. F. Hoffmann and K. Kriegel, Embedding rectilinear
graphs in linear time, IPL 29, 1988, 75-79.
1228. E.G. Coffman Jr., M.R. Garey, and D.S. Johnson, Bin
packing with divisible item sizes, J. Complexity 3,
1987, 406-428.
1229. A.K. Pujari, Separability of unimodal polygons,
PRL 7, 1988, 163-165.
1230. D.K. Friesen and F.S. Kuhl, Analysis of a hybrid
algorithm for packing unequal bins, SIAM JC 17,
1988, 23-40.
1231. R.E. Tarjan and C.J. Van Wyk, An O(nloglogn)-time
algorithm for triangulating a simple polygon, SIAM
JC 17, 1988, 143-178.
1232. F. Dehne and J.R. Sack, Translation separability of
sets of polygons, VC 3, 1987, 227-235.
1233. K.L. Clarkson, R.E. Tarjan, and C.J. VanWyk, A fast
Las Vegas algorithm for triangulating a simple
polygon, CG, 18-22.
1234. R. Motwani, A. Raghunathan, and H. Saran, Covering
orthogonal polygons with star polygons: the perfect
graph approach, CG, 211-223.
1235. S. Gao, M. Jerrum, M. Kaufmann, K. Mehlhorn, W.
Rulling, and C. Storb, On continuous homotopic one
layer routing, CG, 392-402.
1236. A. Aggarwal, S.K. Ghosh, and R.K. Shyamasundar,
Computational complexity of restricted polygon
decompositions, CM, 1-11.
1237. B.K. Bhattacharya, Circular separability of planar
point sets, CM, 25-39.
@bold H primed@.4. Distance, etc.
1238. M.W. Bern, Two probabilistic results on rectilinear
Steiner trees, Algorithmica 3, 1988, 191-204.
1239. R.G. Karlsson, Greedy matching on a grid, BIT 28,
1988, 19-26.
1240. J. Katajainen, The region approach for computing
relative neighbourhood graphs in the L<p> metric,
Computing 40, 1988, 147-161.
100
1241. J. Canny and B. Donald, Simplified Voronoi diagrams,
DCG 3, 1988, 219-236.
1242. W. Lenhart, R. Pollack, J. Sack, R. Seidel, M.
Sharir, S. Suri, G. Toussaint, S. Whitesides, and C.
Yap, Computing the link center of a simple polygon,
DCG 3, 1988, 281-293.
1243. F.K. Hwang, G.D. Song, G.Y. Ting, and D.Z. Du, A
decomposition theorem on Euclidean Steiner minimal
trees, DCG 3, 1988, 367-382.
1244. K. Hinrichs, J. Nievergelt, and P. Schorn, Plane-
sweep solves the closest pair problem elegantly,
IPL 26, 1988, 255-261.
1245. K. Mehlhorn, A faster approximation algorithm for
the Steiner problem in graphs, IPL 27, 1988,
125-128.
1246. A. Baltsan and M. Sharir, On the shortest paths
between two convex polyhedra, J. ACM 33, 1988,
267-287.
1247. F. Aurenhammer, Improved algorithms for discs and
balls using power diagrams, J. Algorithms 9, 1988,
151-161.
1248. D.F. Watson, Natural neighbor sorting on the n-
dimensional sphere, PR 21, 1988, 63-67.
1249. D. Bienstock and C.L. Monma, On the complexity of
covering vertices by faces in a planar graph, SIAM
JC 17, 1988, 53-76.
1250. A. D'Atri and M. Moscarini, Distance-hereditary
graphs, Steiner trees, and connected domination,
SIAM JC 17, 1988, 521-530.
1251. P.M. Vaidya, Minimum spanning trees in k-dimensional
space, SIAM JC 17, 1988, 572-582.
1252. K.L. Clarkson, A randomized algorithm for closest-
point queries, SIAM JC 17, 1988, 830-847.
1253. J.S. Provan, An approximation scheme for finding
Steiner trees with obstacles, SIAM JC 17, 1988,
920-934.
101
1254. M.E. Dyer and A.M. Frieze, On the complexity of
computing the volume of a polyhedron, SIAM JC 17,
1988, 967-974.
1255. C. Bajaj, Geometric optimization and the polynomial
hierarchy, TCS 54, 1987, 87-102.
1256. M.E. Houle and G.T. Toussaint, Computing the width
of a set,
T-PAMI 10, 1988, 761-765.
1257. D. Avis, B.K. Bhattacharya, and H. Imai, Computing
the volume of the union of spheres,
VC 3, 1988, 323-328.
1258. H. ElGindy and M. Goodrich, Parallel algorithms for
shortest path problems in polygons, VC 3, 1988,
371-378.
1259. B.K. Bhattacharya and G.T. Toussaint, Fast
algorithms for computing the diameter of a finite
planar set, VC 3, 1988, 379-388.
1260. D.E. Willard and Y.C. Wee, Quasi-valid range
querying and its implications for nearest neighbor
problems, CG, 34-43.
1261. D.M. Mount and A. Saalfeld, Globally-equiangular
triangulations of co-circular points in O(n log n)
time, CG, 143-152.
1262. B. Aronov, S. Fortune, and G. Wilfong, The
furthest-site geodesic Voronoi diagram, CG, 229-240.
1263. C. Monma, M. Paterson, S. Suri, and F. Yao,
Computing Euclidean maximum spanning trees, CG,
241-251.
1264. T. Asano, B. Bhattacharya, M. Keil, and F. Yao,
Clustering algorithms based on minimum and maximum
spanning trees, CG, 252-257.
1265. J.S.B. Mitchell, On maximum flows in polyhedral
domains, CG, 341-351.
1266. H.A. ElGindy and G.T. Toussaint, Computing the
relative neighbour decomposition of a simple
polygon, CM, 53-70.
102
1267. J.I. Toriwaki and S. Yokoi, Voronoi and related
neighbors on digitized two-dimensional space with
applications to texture analysis, CM, 207-228.
1268. G.T. Toussaint, A graph-theoretic primal sketch, CM,
229-260.
@bold H primed@.5. Path planning
1269. J.F. Canny, The Complexity of Robot Motion Planning,
MIT Press, Cambridge, MA, 1988.
1270. Y. Ke and J. O'Rourke, Lower bounds on moving a
ladder in two and three dimensions, DCG 3, 1988,
197-217.
1271. B.K. Natarajan, The complexity of fine motion
planning, IJRR 7(2), 1988, 36-42.
1272. J.P. Laumond, Obstacle growing in a nonpolygonal
world, IPL 25, 1987, 41-50.
1273. C. O'Dunlaing, A tight lower bound for the
complexity of path-planning for a disc, IPL 28,
1988, 165-170.
1274. J. Hershberger and L.J. Guibas, An O(n[2]) shortest
path algorithm for a non-rotating convex body, J.
Algorithms 9, 1988, 18-46.
1275. M.J. Atallah and S.R. Kosaraju, Efficient solutions
to some transportation problems with applications to
minimizing robot arm travel, SIAM JC 17, 1988,
849-869.
1276. K. Kant and S.W. Zucker, Planning collision-free
trajectories in time-varying environments: a two-
level hierarchy, VC 3, 1988, 304-313.
1277. J.R. Kender and A. Leff, On the computational
complexity of linear navigation, IUW, 583-592.
1278. P. Agarwal and M. Sharir, Red-blue intersection
detection algorithms, with applications to motion
planning and collision detection, CG, 70-80.
1279. S. Kapour and S.N. Maheshwari, Efficient algorithms
for Euclidean shortest path and visibility problems
with polygonal obstacles, CG, 172-182.
103
1280. H. Edelsbrunner, L. Guibas, J. Hershberger, J.
Pach, R. Pollack, R. Seidel, M. Sharir, and J.
Snoeyink, On arrangements of Jordan arcs with three
intersections per pair, CG, 258-265.
1281. L. Gewali, A. Meng, J.S.B. Mitchell, and S. Ntafos,
Path planning in 0/1/oo weighted regions with
applications, CG, 266-278.
1282. G. Wilfong, Motion planning in the presence of
movable obstacles, CG, 279-288.
1283. L.J. Guibas, M. Sharir, and S. Sifrony, On the
general motion planning problem with two degrees of
freedom, CG, 289-298.
1284. B.K. Natarajan, On planning assemblies, CG, 299-308.
1285. B.R. Donald, The complexity of planar compliant
motion planning under uncertainty, CG, 309-318.
1286. M. Sharir and S. Sifrony, Coordinated motion
planning for two independent robots, CG, 319-328.
1287. K. Kedem and M. Sharir, An automatic motion planning
system for a convex polygonal mobile robot in 2-D
polygonal space, CG, 329-340.
1288. K. Fujimura and H. Samet, Accessability: a new
approach to path planning among moving obstacles,
CVPR, 803-807.
1289. N. Kehtarnavaz and S. Li, A collision-free
navigation scheme in the presence of moving
obstacles, CVPR, 808-813.
I. Color and texture
I.1. Reflectance and color
1290. J.D. Foley and J. Grimes, guest eds., Using Color in
Computer Graphics, CGA 8 (5), September 1988, 25-64.
1291. G.W. Meyer, Wavelength selection for synthetic image
generation, CVGIP 41, 1988, 57-79.
1292. G.J. Klinker, S.A. Shafer, and T. Kanade, The
measurement of highlights in color images, IJCV 2,
1988, 7-32.
104
1293. M.C. Stone, W.B. Cowan, and J.C. Beatty, Color gamut
mapping and the printing of digital color images,
TOG 7, 1988, 249-292.
1294. G.J. Klinker, S.A. Shafer, and T. Kanade, Image
segmentation and reflection analysis through color,
IUW, 838-853.
1295. G. Healey and T.O. Binford, A color metric for
computer vision, IUW, 854-861.
1296. G. Healey and T.O. Binford, Predicting material
classes, IUW, 1140-1146.
1297. G. Healey and T.O. Binford, A color metric for
computer vision, CVPR, 10-17.
1298. M. Celenk, A recursive clustering technique for
color picture segmentation, CVPR, 437-444.
1299. B.V. Funt and M.S. Drew, Color constancy computation
in near-Mondrian scenes using a finite dimensional
linear model, CVPR, 544-549.
1300. N. Zhao and Z. Bian, Description of the color image
by using stable view points, ICPR, 785-787.
1301. J. Parkkinen, T. Jaaskelainen, and M. Kuittinen,
Spectral representation of color images, ICPR,
933-935.
1302. B. Funt and J. Ho, Color from black and white, ICCV,
2-8.
1303. D.A. Forsyth, A novel approach to colour constancy,
ICCV, 9-18.
1304. G.J. Klinker, S.A. Shafer, and T. Kanade, Color
image analysis with an intrinsic reflection model,
ICCV, 292-296.
1305. G. Brelstaff and A. Blake, Detecting specular
reflections using Lambertian constraints, ICCV,
297-302.
1306. G. Healey, A color reflectance model and its use for
segmentation, ICCV, 460-466.
105
I.2. Texture: models, synthesis
1307. R.L. Kashyap and K.B. Eom, Robust image models and
their applications, in P.W. Hawkes, ed., Advances in
Electronics and Electron Physics 70 (Academic
Press), 1988, 79-157.
1308. C.A. Pickover, Pattern formation and chaos in
networks, Comm. ACM 31, 1988, 136-151.
1309. P. Prusinkiewicz and G. Sandness, Koch curves as
attractors and repellers, CGA 8(6), 1988, 26-40.
1310. C.A. Pickover, Visualization of quaternion slices,
IVC 6, 1988, 235-237.
1311. E. Panayirci and R.C. Dubes, Extension of the Cox-
Lewis method for testing multidimensional data,
PRL 7, 1988, 1-8.
1312. P. Volet, Analysis and synthesis of structured
textures pictures, SP 14, 1988, 111.
1313. D. Cano and T.H. Minh, Texture synthesis using
hierarchical linear transforms, SP 15, 1988,
131-148.
1314. G. Zorpette, Fractals: not just another pretty
picture, Spectrum 25(10), 1988, 29-31.
1315. M. Wainer, Generating fractal-like surfaces on
general purpose mesh-connected computers, T-COMP 37,
1988, 882.
1316. P.V. Kumar, On the existence of square dot-matrix
patterns having a specific three-valued periodic-
correlation function, T-IT 34, 1988, 271-277.
1317. P. Kube and A. Pentland, On the imaging of fractal
surfaces,
T-PAMI 10, 1988, 704-707.
1318. N. Magnenat-Thalmann, M. Burgess, L. Forest, and D.
Thalmann, A geometric study of parameters for the
recursive midpoint subdivision,
VC 3, 1987, 145-151.
1319. A. Gagalowicz, Texture modelling applications, VC 3,
1987, 186-200.
106
1320. C.A. Pickover, Symmetry, beauty and chaos in
Chebyshev's paradise, VC 4, 1988, 142-147.
1321. A. Kaufman, TSL-a texture synthesis language, VC 4,
1988, 148-158.
1322. J. Goutsias, A comparative study of two useful
discrete-valued random fields for the statistical
modeling of images, CVPR, 310-315.
1323. M.F. Barnsley, A. Jacquin, F. Malassenet, L. Reuter,
and A.D. Sloan, Harnessing chaos for image
synthesis, SIGGRAPH, 131-140.
1324. W. Kruger, Intensity fluctuations and natural
texturing, SIGGRAPH, 213-220.
1325. J.M. Francos and A.Z. Meiri, A unified structural-
stochastic model for texture analysis and synthesis,
ICPR, 41-45.
I.3. Texture: description
1326. G. Eichmann and T. Kasparis, Topologically invariant
texture descriptors, CVGIP 41, 1988, 267-281.
1327. G. Waldman, J. Wootton, G. Hobson, and K.
Leutkemeyer, A normalized clutter measure for
images, CVGIP 42, 1988, 137-156.
1328. D.C. He, L. Wang, and J. Guibert, Texture
discrimination based on optimal utilization of
texture features, PR 21, 1988, 141-146.
1329. S.M. Dunn, R.L. Keizer, and A. Rosenfeld, Random
field identification from a sample: experimental
results, PRL 8, 1988, 15-20.
1330. L.H. Siew, R.M. Hodgson, and E.J. Wood, Texture
measures for carpet wear assessment, T-PAMI 10,
1988, 92-105.
1331. J.F. Silverman and D.B. Cooper, Bayesian clustering
for unsupervised estimation of surface and texture
models, T-PAMI 10, 1988, 482-495.
1332. A. Khotanzad and R.L. Kashyap, Feature selection for
texture recognition based on image synthesis, T-
SMC 17, 1987, 1087-1095.
107
1333. K.K. Benke, D.R. Skinner, and C.J. Woodruff,
Convolution operators as a basis for objective
correlates of texture perception, T-SMC 18, 1988,
158-163.
1334. (J.H. Xu) and (J.R. Shen), A weak structural texture
analysis technique to wave heights for ocean waves
image, CVPR, 105-110.
1335. I.L. Herlin and J.P. Crettez, Texture analysis by a
perceptual model, ICPR, 764-766.
1336. T.R. Reed and H. Wechsler, Texture analysis and
clustering using the Wigner distribution, ICPR,
770-772.
1337. (J. Wan), (J. Mao), and (C.D. Wang), Multiresolution
rotation invariant simultaneous auto regressive
model for texture analysis, ICPR, 845-847.
1338. (J. Peng), The identification of autocorrelation
model of discrete random images, ICPR, 1026-1028.
1339. A. Hallion, P. Masson, and C. Roux, A non parametric
approach to linear feature extraction: application
to classification of binary synthetic textures,
ICPR, 1036-1039.
1340. K. Selkainaho, J. Parkkinen, and E. Oja, Comparison
of x[2] and k statistics in finding signal and
picture periodicity, ICPR, 1221-1224.
I.4. Texture: segmentation
1341. H.M. Raafat and A.K.C. Wong, A texture information-
directed region growing algorithm for image
segmentation and region classification, CVGIP 43,
1988, 1-21.
1342. J. Montes, G. Cristobal, and J. Bescos, Texture
isolation by adaptive digital filtering, IVC 6,
1988, 189-192.
1343. T. Reed and H. Wechsler, Tracking of
nonstationarities for texture fields, SP 14, 1988,
95-102.
1344. R. Wilson and M. Spann, Finite prolate spheroidal
sequences and their applications II: image feature
description and segmentation,
T-PAMI 10, 1988, 193-203.
108
1345. T.M. Caelli, An adaptive computational model for
texture segmentation,
T-SMC 18, 1988, 9-17.
1346. R. Vistnes, Texture models and image measures for
segmentation, IUW, 1005-1015.
1347. R. Vistnes, Texture edge localization, IUW,
1147-1154.
1348. M. Tuceryan, A.K. Jain, and Y. Lee, Texture
segmentation using Voronoi polygons, CVPR, 94-99.
1349. P. Kube, Polynomial shift-invariant operators for
texture segmentation, CVPR, 100-104.
1350. M. Unser and M. Eden, A multi-resolution feature
reduction technique for image segmentation with
multiple components, CVPR, 568-573.
1351. A. Gagalowicz and C. Graffigne, Blind texture
segmentation, ICPR, 46-50.
1352. X. Gong and N.K. Huang, Texture segmentation using
iterative estimate of energy states, ICPR, 51-55.
1353. P. Dewaele, L. Van Gool, P. Wambacq, and A.
Oosterlinck, Texture inspection with self-adaptive
convolution filters, ICPR, 56-60.
1354. D. Chetverikov, Detecting defects in texture, ICPR,
61-63.
1355. P. Cohn and H.H. Nguyen, Unsupervised Bayesian
estimation for segmenting textured images, ICCV,
303-309.
1356. M.L. Moerdler, Multiple shape-from-texture into
texture analysis and surface segmentation, ICCV,
316-320.
1357. A. Sha'ashua and S. Ullman, Structural saliency:
the detection of globally salient structures using a
locally connected network, ICCV, 321-327.
109
J. Three-dimensional scene analysis
J.1. Range data, etc.
1358. NSF Workshop on Range Image Understanding, East
Lansing, MI, March 21-23, 1988.
1359. J.J. LeMoigne and A.M. Waxman, Structured light
patterns for robot mobility, J-RA 4, 1988, 541-548.
1360. P.J. Besl, Active, optical range imaging sensors,
MVA 1, 1988, 127-152.
1361. M. Asada, H. Ichikawa, and S. Tsuji, Determining
surface orientation by projecting a stripe pattern,
T-PAMI 10, 1988, 749-754.
1362. J.L. Jezouin, P. Saint-Marc, and G. Medioni,
Building an accurate range finder with off the shelf
components, CVPR, 195-200.
1363. J.S. Fox, Range from translational motion blurring,
CVPR, 360-365.
1364. M. Subbarao and N. Gurumoorthy, Depth recovery from
blurred edges, CVPR, 498-503.
1365. T. Darrell and K. Wohn, Pyramid based depth from
focus, CVPR, 504-509.
1366. J.H. Nurre, E.L. Hall, and J.J. Roning, Acquiring
simple patterns for surface inspection, CVPR,
586-591.
1367. K. Nakano, Y. Watanabe, and S. Kanno, Extraction and
recognition of 3-dimensional information by
projecting a pair of slit-ray beams, ICPR, 736-738.
1368. K. Araki, Y. Sato, N. Tanaka, and T. Fujino, A
method for high speed 3-D range measurement and its
trial instrumentation, ICPR, 755-757.
1369. M. Subbarao, Parallel depth recovery by changing
camera parameters, ICCV, 149-155.
1370. H. Morita, K. Yajima, and S. Sakata, Reconstruction
of surfaces of 3-D objects by m-array pattern
projection method, ICCV, 468-473.
110
1371. A.L. Abbott and N. Ahuja, Surface reconstruction by
dynamic integration of focus, camera vergence, and
stereo, ICCV, 532-543.
1372. K. Rao and R. Nevatia, Computing volume descriptions
from sparse 3-D data, IJCV 2, 1988, 33-50.
1373. D. Laurendeau and D. Poussart, Model building of
three-dimensional polyhedral objects using 3D edge
information and hemispheric histogram, J-RA 3, 1987,
459-470.
1374. T.J. Fan, G. Medioni, and R. Nevatia, Segmented
descriptions of 3-D surfaces, J-RA 3, 1987, 527-538.
1375. R.D. Rimey and F.S. Cohen, A maximum-likelihood
approach to segmenting range data, J-RA 4, 1988,
277-286.
1376. T. Nagata and H.B. Zha, Determining orientation,
location and size of primitive surfaces by a
modified Hough transformation technique, PR 21,
1988, 481-491.
1377. R.A. Grupen, T.C. Henderson, and C.D. Hansen,
Apparent symmetries in range data, PRL 7, 1988,
107-111.
1378. J.K. Aggarwal and Y.F. Wang, Inference of object
surface structure from structured lighting-an
overview, MVAAS, 193-220.
1379. P.J. Besl and R.C. Jain, Range image segmentation,
MVAAS, 221-256.
1380. T.E. Boult and A.D. Gross, On the recovery of
superellipsoids, IUW, 1052-1063.
1381. J.H. Han and R.A. Volz, Region grouping from a range
image, CVPR, 241-248.
1382. S.M. Naik and R.C. Jain, Spline-based surface
fitting on range images for CAD applications, CVPR,
249-253.
1383. C.H. Chien, Y.B. Sim, and J.K. Aggarwal, Generation
of volume/surface octree from range data, CVPR,
254-260.
111
1384. N. Yokoya and M.D. Levine, A hybrid approach to
range image segmentation, ICPR, 1-5.
1385. G. Xu and X. Wan, Description of 3-D object in range
image, ICPR, 20-22.
1386. T. Kasvand, The k1k2 space in range image analysis,
ICPR, 923-926.
1387. A.D. Gross and T.E. Boult, Error of fit measures for
recovering parametric solids, ICCV, 690-694.
1388. V.D. Nguyen, Constructing force-closure grasps,
IJRR 7(3), 1988, 3-16.
1389. D.J. Montana, The kinematics of contact and grasp,
IJRR 7(3), 1988, 17-32.
1390. Z. Li and S.S. Sastry, Task-oriented optimal
grasping by multifingered robot hands, J-RA 4, 1988,
32-44.
1391. M. Orlowski and M. Pachter, The analysis of
equilateral grip of a prismatic and convex
workpiece, J-RA 4, 1988, 218-223.
1392. S. Begej, Planar and finger-shaped optical tactile
sensors for robotic applications, J-RA 4, 1988,
472-484.
1393. H. Hemami, Differential surface models for tactile
perception of shape and on-line tracking of
features, T-SMC 18, 1988, 312-316.
1394. N. Kehtarnavaz, L.R. Simar, and R.J.P. de
Figuereido, A syntactic/semantic technique for
surface reconstruction from cross-sectional
contours, CVGIP 42, 1988, 399-409.
1395. J.D. Boissonnat, Shape reconstruction from planar
cross sections, CVGIP 44, 1988, 1-29.
1396. S.B. Xu and W.X. Lu, Surface reconstruction of 3D
objects in computerized tomography, CVGIP 44, 1988,
270-278.
1397. T.H. Phillips and A. Rosenfeld, Decomposition of 3D
objects into compact subobjects by analysis of
cross-sections, IVC 6, 1988, 33-51.
112
1398. K.R. Sloan and J. Painter, Pessimal guesses may be
optimal: a counterintuitive search result, T-
PAMI 10, 1988, 949-955.
1399. P.T. Sander and S.W. Zucker, Computing principal
direction fields as frame bundle cross sections,
ICPR, 582-584.
1400. G.G. Pieroni and Y.P. Wing, Reconstructing the
activity surface for cardiac PET imagery, ICPR,
822-826.
1401. J. Yia-Jaaski and O. Kubler, Segmentation and
analysis of 3D volume images, ICPR, 951-953.
1402. F. Macias-Garza, A.C. Bovik, K.R. Diller, and S.J.
Aggarwal, Determining the 3-D structure of serial-
sectioned microscopic objects: analysis and
limitations, ICPR, 974-976.
1403. G.T. Herman, The tracking of boundaries in 3D
medical images, ICPR, 998-1003.
1404. J.S. Chen and W.C. Lin, A new surface interpolation
technique for reconstructing 3-D objects from serial
cross-sections, ICPR, 1100-1102.
1405. P.T. Sander and S.W. Zucker, Singularities of
principal direction fields from 3-D images, ICCV,
666-670.
J.2. ``Shape from x''
1406. J. Aloimonos, Shape from texture, Biological
Cybernetics 58, 1988, 345-360.
1407. J. Lang, On illuminations of C[2]-surfaces in vector
graphic description, C&G 12, 1988, 33-38.
1408. I.V. Nagendra and U.G. Gujar, 3-D objects from 2-D
orthographic views-a survey, C&G 12, 1988, 111-114.
1409. K. Kanatani, Constraints on length and angle,
CVGIP 41, 1988, 28-42.
1410. G. Healey and T.O. Binford, Local shape from
specularity, CVGIP 42, 1988, 62-86.
1411. S. Naito and A. Rosenfeld, Shape from random planar
features, CVGIP 42, 1988, 345-370.
113
1412. Z. Wu and L. Li, A line-integration based method for
depth recovery from surface normals, CVGIP 43, 1988,
53-66.
1413. A.M. Bruckstein, On shape from shading, CVGIP 44,
1988, 139-154.
1414. V.S. Nalwa, Line-drawing interpretation: a
mathematical framework, IJCV 2, 1988, 103-124.
1415. J.(Y.) Aloimonos and M. Swain, Shape from patterns:
regularization, IJCV 2, 1988, 171-187.
1416. M.C. Cooper, Accelerated analysis of occlusion,
IVC 6, 1988, 3-12.
1417. L.M. Kirousis and C.H. Papadimitriou, The complexity
of recognizing polyhedral scenes, JCSS 37, 1988,
14-38.
1418. Y.M. Enab and J.Y.S. Luh, Shape from a single view
using matching method, PR 21, 1988, 313-318.
1419. Z. Chen and D.B. Perng, Automatic reconstruction of
3D solid objects from 2D orthographic views, PR 21,
1988, 439-449.
1420. C.H. Lee, Perception of a quadrilateral, PRL 7,
1988, 123-127.
1421. J.(Y.) Aloimonos, Visual shape computation, P-
IEEE 76, 1988, 899-916.
1422. V.I. Ramachandran, Perceiving shape from shading,
Scientific American 259(2), 1988, 76-83.
1423. A.C. Sanderson, L.E. Weiss, and S.K. Nayar,
Structured highlight inspection of specular
surfaces, T-PAMI 10, 1988, 44-55.
1424. R.T. Frankot and R. Chellappa, A method for
enforcing integrability in shape from shading
algorithms, T-PAMI 10, 1988, 439-451.
1425. N. Nandhakumar and J.K. Aggarwal, Integrated
analysis of thermal and visual images for scene
interpretation, T-PAMI 10, 1988, 469-481.
1426. V.S. Nalwa, Line-drawing interpretation: straight
lines and conic sections, T-PAMI 10, 1988, 514-529.
114
1427. J.(Y.) Aloimonos and C.M. Brown, Robust computations
of intrinsic images from multiple cues, ACV I,
115-163.
1428. K. Sugihara, Realizability of polyhedrons from line
drawings, CM, 177-206.
1429. M.L. Moerdler and T.E. Boult, The integration of
information from stereo and multiple shape-from-
texture cues, IUW, 786-793.
1430. J.(Y.) Aloimonos and A. Basu, Combining information
in low-level vision, IUW, 862-906.
1431. C.I. Connolly and J.R. Stenstrom, Generation of
face-edge-vertex models directly from images, IUW,
1041-1046.
1432. M. Hatzitheodorou and J. Kender, An optimal
algorithm for the derivation of shape from shadows,
IUW, 1135-1139.
1433. L.G. Brown and H. Shvaytser, Surface orientation
from projective foreshortening of isotropic texture
autocorrelation, IUW, 1155-1159.
1434. V.D. Nguyen, Labeling polyhedral images, IUW,
1160-1165.
1435. V.S. Nalwa, Line drawing interpretation: a
mathematical framework, CVPR, 18-31.
1436. D. Lee, Algorithms for shape from shading and
occluding boundaries, CVPR, 478-485.
1437. M. Hatzitheodorou and J.R. Kender, An optimal
algorithm for the derivation of shape from shadows,
CVPR, 486-491.
1438. B. Kim and P. Burger, Calculation of surface
position and orientation using the photometric
stereo method, CVPR, 492-497.
1439. L.G. Brown and H. Shvaytser, Surface orientation
from projective foreshortening of isotropic texture
autocorrelation, CVPR, 510-514.
1440. Y.C. Jau and R.T. Chin, Shape from texture using the
Wigner distribution, CVPR, 515-523.
115
1441. M.L. Moerdler and T.E. Boult, The integration of
information from stereo and multiple shape-from
texture cues, CVPR, 524-529.
1442. M. Shao, T. Simchony, and R. Chellappa, New
algorithms for reconstruction of a 3-D depth map
from one or more images, CVPR, 530-535.
1443. R. Charit and M.H. Loew, Complex shadow-boundary
segmentation using the entry-exit method, CVPR,
536-541.
1444. K.C. Cox, G.C. Roman, W.E. Ball, and A.F. Laine,
Rapid search for spherical objects in aerial
photographs, CVPR, 905-910.
1445. Z. Wu and L. Li, A line-integration based method for
depth recovery from surface normals, ICPR, 591-595.
1446. K. Atsuta, M. Sangworasil, and S. Kondo, A new
method of estimating shape from shading by using a
constraint at zero-crossings of image brightness,
ICPR, 666-668.
1447. D.A. Hilsenrath and Y.Y. Zeevi, 3D cuboid scene
understanding by a mixed cognitive graph and log-
complex mapping paradigm, ICPR, 696-699.
1448. S. Nishihara and K. Ikeda, Interpreting engineering
drawings of polyhedrons, ICPR, 869-871.
1449. V.S. Nalwa, Line-drawing interpretation: bilateral
symmetry, ICPR, 1049-1052.
1450. S. Ishikawa and K. Kato, Reconstructible pairs of
incomplete polyhedral line drawings under general
reconstruction procedure, ICPR, 1056-1058.
1451. (W. Zhang) and (Y. Zhou), An improved method for
shape from shading, ICPR, 1106-1108.
1452. A. Pentland, Shape information from shading: a
theory about human perception, ICCV, 404-413.
1453. F. Ulupinar and R. Nevatia, Using symmetries for
analysis of shape from contour, ICCV, 414-426.
1454. K. Kanatani, Reconstruction of consistent shape from
inconsistent data: optimization of 2(1/2)D
sketches, ICCV, 508-512.
116
1455. T. Shakunaga and H. Kaneko, Shape from angles under
perspective projection, ICCV, 671-678.
J.3. Representation
1456. M. Senechal and D. Fleck, eds., Shaping Space-A
Polyhedral Approach, Birkhauser, Boston, MA, 1987.
1457. G. Farin, Curves and Surfaces for Computer Aided
Geometric Design-A Practical Guide, Academic Press,
Boston, MA, 1988.
1458. M.J. Callahan, D. Hoffman, and J.T. Hoffman,
Computer graphics tools for the study of minimal
surfaces, Comm. ACM 31, 1988, 648-661.
1459. P. Paukowitsch, Fundamental ideas for computer-
supported descriptive geometry, C&G 12, 1988, 3-14.
1460. G. Weiss and P. Furtner, Computer-aided treatment of
developable surfaces, C&G 12, 1988, 39-51.
1461. W. Fuhs and H. Stachel, Circular pipe-connections,
C&G 12, 1988, 53-57.
1462. J. Flaquer and J.L. Rodil, Boolean operations based
on the planar polyhedral representation, C&G 12,
1988, 59-64.
1463. L. Piegl, Coons-type patches, C&G 12, 1988, 221-228.
1464. R.C. Joshi, H. Darbari, S. Goel, and S. Sasikumaran,
A hierarchical hex-tree representational technique
for solid modelling, C&G 12, 1988, 235-238.
1465. J.R. Rankin, Classes of polyhedra defined by jet
graphics, C&G 12, 1988, 239-254.
1466. X. Li, Z. Tang, and J. Sun, The implementation of
set operation for regularized geometric object,
C&G 12, 1988, 309-318.
1467. D. Ma and R. Tang, Realizing the Boolean operations
in solid modeling technique via directed loops,
C&G 12, 1988, 319-322.
1468. A.A. Pasko, V.V. Pilyugin, and V.N. Pokrovskiy,
Geometric modeling in the analysis of trivariate
functions, C&G 12, 1988, 457-465.
117
1469. U.G. Gujar, V.C. Bhavsar, and N.N. Datar,
Interpolation techniques for 3-D object generation,
C&G 12, 1988, 541-555.
1470. A. Klinger and W.K. Fox, Point data analysis,
C&G 12, 1988, 557-564.
1471. J.R. Miller, Analysis of quadric-surface-based solid
models, CGA 8(1), 1988, 28-42.
1472. M. Segal and C.H. Sequin, Partitioning polyhedral
objects into nonintersecting parts, CGA 8(1), 1988,
53-67.
1473. J.U. Turner, Accurate solid modeling using
polyhedral approximations, CGA 8(5), 1988, 14-28.
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