home *** CD-ROM | disk | FTP | other *** search
Path: sparky!uunet!cis.ohio-state.edu!ucbvax!ADS.COM!Vision-List-Request From: Vision-List-Request@ADS.COM (Vision-List moderator Phil Kahn) Newsgroups: comp.ai.vision Subject: VISION-LIST digest 11.28 Message-ID: <9208200400.AA06760@euler.ads.com> Date: 17 Aug 92 18:49:21 GMT Sender: daemon@ucbvax.BERKELEY.EDU Reply-To: Vision-List@ads.com Distribution: inet Organization: The Internet Lines: 885 Approved: vision-list@ads.com VISION-LIST Digest Mon Aug 17 10:49:21 PDT 92 Volume 11 : Issue 28 - Send submissions to Vision-List@ADS.COM - Vision List Digest available via COMP.AI.VISION newsgroup - If you don't have access to COMP.AI.VISION, request list membership to Vision-List-Request@ADS.COM - Access Vision List Archives via anonymous ftp to FTP.ADS.COM Today's Topics: D-Type skeletonisation Digital Triangulation About some medical references ... Signature verification C/C++ code for Kalman filtering Connected component labeling Algorithms PC-app. for segmentation and morphology of microscopic images sought help in getting article Advance Programme for BMVC92 CFP: SPIE Image Storage and Retrieval, Jan 1993 Conference AISB'93: 2nd CFP and Revised Submission Date CFP: Conference on Human Vision, Visual Processing and Digital Display ---------------------------------------------------------------------- Date: Fri, 31 Jul 92 10:05:32 GMT From: cmch.ernet.in!vasan@saathi.ncst.ernet.in Subject: D-Type skeletonisation Hello friends/colleagues, I had a few problems while applying the D-Type skeletonisation based on morphological operators. To recapitulate, the templates for detecting D-Type skeleton were 0 0 x 0 1 1 0 0 x and all its rotations. The x's mean don't cares. The 1's are replaced by 0's if the input image agrees with the template. The replacements are done in the output image. Now consider an image made of the pattern 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 The above mentioned template would be applicable equally well to both the 1's in this image thus reducing the object to all zeroes giving an incorrect count of the objects/particles in the image. This problem occurs whenever the input object sizes are even numbered. Are the results of applying the structuring template to one pixel to be used for subsequent pixels in the same iteration. Such a criterion would never- theless make these algorithms less amenable to parallelisation. I referred to JSerra's bible and a few other papers but the problem still remained. So, friends, where is the catch or where have I committed the gaffe. Ciao SrinivasanVS Systems Engineer CMC Ltd 115, Sarojini Devi Road Secunderabad - 500 003 ( INDIA ) E-Mail : vasan@cmch.ernet.in ------------------------------ Date: Mon, 3 Aug 1992 16:33:14 GMT From: ng910@twins.pnl.gov Organization: Battelle Pacific Northwest Labs, Richland, WA Subject: Digital Triangulation Keywords: vision/trinagulation Hi all, I am looking for source code or algorythms for multiple camera real-time triangulation of objects. If anybody can help, thanks in advance! Dave Wagle ------------------------------ Date: Mon, 10 Aug 92 8:53:36 MESZ From: Thomas Buck <buck@goya.gris.informatik.uni-tuebingen.de> Subject: About some medical references ... Dear folk: I'm studying 3D medical image processing at our computer graphics department. Now I have come to the point where I need some literature reference about applying an geometrical description (something like an anatomical atlas) to our patient data. Not only this, but also algorithms for rigid and elastic matching. Please, if you know some literature about this, send me (:-)). Thanks very much in advance, Thomas THOMAS DE ARAUJO BUCK [Internet] buck@goya.gris.informatik.uni-tuebingen.de Universitaet Tuebingen Wilhelm Schickard Institut fuer Informatik Auf der Morgenstelle 10, C-9 7400 Tuebingen 1 - DEUTSCHLAND Phone: +49 (0) 7071 / 29-5464 Fax: +49 (0) 7071 / 29-5466 ------------------------------ Date: Wed, 29 Jul 1992 18:09:47 GMT From: eugene@sbcs.sunysb.edu (Eugene Joseph) Organization: State University of New York at Stony Brook Subject: Signature verification Keywords: pattern recognition Does anyone know of one of the following: 1) A program 2) An algorithm 3) A reference for 1) or 2) that will compare the images of two signatures and provide a distance measure between the images; i.e. signature verification ? Thanks. Eugene. ------------------------------ Date: Wed, 29 Jul 92 21:20:08 CDT From: odonnell@osage.csc.ti.com (Tom O'Donnell) Subject: C/C++ code for Kalman filtering I am seeking generic c or c++ code for Kalman filtering. It would be used for position prediction of actors in a scene. Thanks in advance, Tom O'Donnell ------------------------------ Date: Fri, 31 Jul 92 11:00:20 KDT From: dmyoon@lion.postech.ac.kr (Yoon Doo Man) Subject: Connected component labeling Algorithms Hi, I'm surveying Connected component labeling Algorithms. It is quite time-consuming job in computer vision. So I would test the speed of the algorithms. Would you send me your own programs which are implemented by yourself or which you are using for your work ? I'll let you know the result of my test . Thanks, Doo-man yoon e-mail : dmyoon@csd.postech.ac.kr ------------------------------ Date: Sun, 2 Aug 1992 18:44:13 GMT From: wolfi@cs.tu-berlin.de (Wolfgang Schwanke) Organization: Techn. University of Berlin, Germany Subject: PC-app. for segmentation and morphology of microscopic images sought Hi everyone, for a friend I am looking for a programme that can do visual segmentation and morphology of microscopic photos of living cells. He wants to run it on a PC, preferrably under Windows, but DOS applications would also be interesting. As this is almost a standard computer vision task, I am pretty sure there are a lot such applications around. I would welcome any hint on where to find them (shareware preferred, but info on commercial packages is also welcome). Thank you in advance, Wolfgang Schwanke * Technische Universitaet Berlin * Germany * wolfi on irc email: wolfi@cs.tu-berlin.de * wolfaefg@w250zrz.zrz.tu-berlin.de ------------------------------ Date: 31 Jul 92 17:12:01 GMT From: vasanth@cbis.ece.drexel.edu (Vasanth Shreesha) Organization: Drexel University, ECE Department, Philadelphia, PA Subject: help in getting article Hi Netters, I am looking for the following article Licklider,J.C.R. A duplex theory of pitch perception Experientia (Basel) 7, 128-134 (1951). Anybody out there having a copy of this article and willing to send me a copy ? Thank you for your attention; Vasanth Vasanth Shreesha Graduate Student Dept. of Electrical and Computer Engineering Drexel University Philadelphia, PA 19104. tel. (215) 386-9893(Home) e-mail: vasanth@cbis.ece.drexel.edu (215) 895-2250(Office) shreeshv@duvm.bitnet ------------------------------ Date: Fri, 7 Aug 92 10:57:38 BST From: dch@scs.leeds.ac.uk Subject: Advance Programme for BMVC92 British Machine Vision Conference 1992 University of Leeds, 21-24 September ADVANCE PROGRAMME Tuesday, 22nd September INVITED SPEAKER Performance characterisation in computer vision Robert Haralick, University of Washington SHAPE Training models of shape from sets of examples T F Cootes, C J Taylor, D H Cooper, J Graham Dept of Medical Biophysics, University of Manchester The Delaunay/Voronoi selection graph: a method for extracting shape information from 2-D dot-patterns with an extension to 3-D G Robinson, L Griffin, A Colchester Dept of Neurobiology, Guy's Hospital STRUCTURE FROM MULTIPLE IMAGES Range recovery using virtual multi-camera stereo D W Murray, P A Beardsley Dept of Engineering Science, University of Oxford Robust recovery of 3D ellipse data S Pollard, J Porrill AI Vision Research Unit, University of Sheffield Affine and projective structure from motion S Demey (1), A Zisserman (2), P Beardsley (2) (1) Dept of Mechanical Engineering, Katholieke Universiteit Leuven (2) Dept of Engineering Science, University of Oxford Planar region detection and motion recovery D Sinclair, A Blake, S Smith, C Rothwell Dept of Engineering Science, University of Oxford 3D structure and motion estimation from 2D image sequences T N Tan, K D Baker, G D Sullivan Dept of Computer Science, University of Reading SEGMENTATION AND FEATURES Statistical detection of independent movement from a moving camera P H S Torr, D W Murray Dept of Engineering Science, University of Oxford Accurate boundary location from motion J A Marchant Agricultural and Food Research Council, Silsoe Research Institute From features to perceptual categories W Richards1, J Feldman1, A Jepson2 1. Dept of Brian & Cognitive Sciences, MIT 2. Dept of Computer Science, University of Toronto Vanishing point detection A Tai, J Kittler, M Petrou, T Windeatt Dept of Electronic and Electrical Engineering, University of Surrey Contextual junction finder J Matas, J Kittler Dept of Electronic and Electrical Engineering, University of Surrey POSTER SESSION 1 Generation of 3D dense depth maps by dynamic vision J Santos-Victor, J Sentieiro Centro de Analise e Processamento de Sinais, Inst Superior Tecnico A new class of corner finder S Smith Dept of Engineering Science, University of Oxford & DRA (RARDE Chertsey) On evidence assessment for model-based recognition L Du, G D Sullivan, K D Baker Dept of Computer Science, University of Reading Lane boundary tracking for an autonomous road vehicle N W Campbell, B T Thomas University of Bristol Indexing two-dimensional objects using parametrised geometric features C C Hand IT Research Institute, Brighton Polytechnic The adpative bisector method: separating slant and tilt in estimating shape from texture J V Stone Dept of Computer Science, University of Wales, Aberystwyth A step towards efficient bayesian signal reconstruction J W Dickson IBM UK Scientific Centre Multistage combined ellipse and line detection G A W West, P L Rosin School of Computing Science, Curtin University of Technology Using colour templates for target identification and tracking S Brock-Gunn1, T Ellis2 1. Computer Science Dept, City University 2. Centre for Information Engineering, City University Machine vision inspection of web textile fabric L Norton-Wayne, M Bradshaw, A J Jewell Dept of Elec. and Elec. Eng. & CIMTEX Centre, Leicester Polytechnic PHASE-BASED DISPARITY ESTIMATION Multiresolution estimation of 2-D disparity using a frequency domain approach A D Calway1, H Knutsson2, R Wilson1 1. Dept of Computer Science, University of Warwick 2. Computer Vision Laboratory, Linkoping University Estimating mean disparity of stereo images using shift-trials of phase differences Li-Dong Cai, J E W Mayhew AI Vision Research Unit, University of Sheffield On transparent motion computation K Langley1, D J Fleet2, T J Atherton3 1. Dept of Psychology, University College London 2. Dept of Computing Science, Queen's University, Canada 3. Dept of Computer Science, University of Warwick Wednesday, 23rd September OBJECT RECOGNITION A neural network approach to recognition of structural aberrations in chromosomes M Turner1, J Austin1, N Allinson2, P Thompson3 Depts of (1) Computer Science, (2) Electronics, (3) Psychology, University of York Active shape models -- `smart snakes' T F Cootes, C J Taylor Dept of Medical Biophysics, University of Manchester A generic system for image interpretation using flexible templates A Hill, T F Cootes, C J Taylor Dept of Medical Biophysics, University of Manchester Recognition of volcanoes on Venus using correlation methods C R Wiles, M R B Forshaw Dept of Physics and Astronomy, University College London The use of symmetry chords for expressing grey level constraints D R Bailes, C J Taylor Department of Medical Biophysics, University of Manchester CORRESPONDENCE A matching and tracking strategy for independently moving objects L S Shapiro, H Wang, J M Brady Department of Engineering Science, University of Oxford Statistical analysis of a stereo matching algorithm N A Thacker, P Courtney AI Vision Research Unit, University of Sheffield Line based trinocular stereo D Yang, J Illingworth Dept of Electronic and Electrical Engineering, University of Surrey Stereo without disparity gradient smoothing: a Bayesian sensor fusion solution I J Cox, S Hingorani, B M Maggs, S B Rao NEC Research Institute, Princeton, USA On local matching of free-form curves Z Zhang INRIA Sophia-Antipolis, France ACTIVE VISION 1 Coarse image motion for saccade control P F McLauchlan, I Reid, D W Murray Dept of Engineering Science, University of Oxford Vergence micromovements and depth perception A Francisco Dept of Numerical Analysis and Computing Science, Royal Inst of Technology, Sweden Layered architecture for the control of micro saccadic tracking of a stereo camera head J E W Mayhew1, Y Zheng2, S A Billings2 1. AI Vision Research Unit, University of Sheffield 2. Dept of Automatic Control & Systems Engineering, Univ. of Sheffield Image tracking in real-time: a transputer emulation of some early mammalian vision processes P H Welch, D C Wood Computing Laboratory, University of Kent POSTER SESSION 2 A curvature sensitive filter and its application in microfossil image characterisation J P Oakley, R T Shann Dept of Electrical Engineering, University of Manchester Measuring geometrical parameters of involute spur gears to sub-pixel resolution M J Robinson, J P Oakley Dept of Electrical Engineering, University of Manchester Camera calibration using vanishing points P Beardsley, D W Murray Dept of Engineering Science, University of Oxford Ground plane motion parameter estimation for non-circular paths G J Ellwood1, Y Zheng1, S A Billings1, J Mayhew2, J P Frisby2 1. Dept of Automatic Control & Systems Engineering, Univ. of Sheffield 2. AI Vision Research Unit, University of Sheffield Estimation of cloud cover using colour and texture K Richards, G D Sullivan Department of Computer Science, University of Reading Building a model of a road junction using moving vehicle information X Li-Qun1, D S Young1, D C Hogg2 (1) School of Cognitive and Computing Sciences, University of Sussex (2) School of Computer Studies, University of Leeds Off-line handwriting recognition by recurrent error propagation networks A W Senior, F Fallside Engineering Department, University of Cambridge Evaluating a hidden Markov model of syntax in a text recognition system S Hanlon, R Boyle School of Computer Studies, University of Leeds Segmentation of music primitives K C Ng, R D Boyle School of Computer Studies, University of Leeds Active contours using finite elements to control local scale P Karaolani, G D Sullivan, K D Baker Dept of Computer Science, University of Reading FACE RECOGNITION Automatic face location to enhance videophone picture quality T I P Trew1, R D Gallery1, D Thanassas1, E Badique2 (1) Philips Research Laboratories, Redhill (2) Philips Kommunikations Industrie AG, Nurnberg Face recognition by computer I Craw, P Cameron Dept of Mathematical Sciences, University of Aberdeen A comparison of vector quantization codebook generation algorithms applied to automatic face recognition C S Ramsay, K Sutherland, D Renshaw, P B Denyer Dept of Electrical Engineering, University of Edinburgh Blink rate monitoring for a driver awareness system D Tock, I Craw Dept of Mathematical Sciences, University of Aberdeen Thursday, 24th September INVITED SPEAKER Vision during action Giulio Sandini, University of Genoa ACTIVE VISION 2 Online calibration of a 4 DOF Stereo Head N A Thacker, P Courtney AI Vision Research Unit, University of Sheffield Visibility scripts for active feature-based inspection E Trucco, E Thirion, M Umasuthan, A M Wallace Dept of Computer Science, Heriot-Watt University Ground plane obstacle detection under variable camera geometry using a predictive stereo matcher S Cornell, J Porrill, J E W Mayhew AI Vision Research Unit, University of Sheffield MODEL-BASED VISION Non-wildcard matching beats the interpretation tree R B Fisher Dept of Artificial Intelligence, University of Edinburgh Modelling data complexity for model-based vision L Du, G D Sullivan, K D Baker Dept of Computer Science, University of Reading Practical aspect-graph derivation incorporating feature segmentation performance A W Fitzgibbon, R B Fisher Dept of Artificial Intelligence, University of Edinburgh Recognising polyhedral objects from a single perspective view K C Wong, J Kittler Dept of Electronic and Electrical Engineering, University of Surrey Linear algorithms for object pose estimation T N Tan, G D Sullivan, K D Baker Dept of Computer Science, University of Reading ================================================================================ Tutorial -------- Geometric Invariance in Vision Presenter: Andrew Zisserman (University of Oxford) Date: 21st September 1992 Abstract Invariants are properties of geometric configurations which remain unchanged under an appropriate class of transformations. The application of invariants to machine vision has provided a tool for handling problems until recently considered intractable. In contrast to traditional approaches, vision tasks may be performed without requiring knowledge of object pose, or intrinsic camera parameters, or making affine approximations to perspective projection. The tutorial will be in two parts. The first will be an introduction to the basics of invariance theory and projective geometry. Important transformations will be identified and the number and type of invariants described. The second will cover the application of invariants to a number of important visual tasks including: recognition of 2D and 3D objects from single uncalibrated images; shape description; and, transfer of projected structure between images. Throughout, points will be illustrated by examp les based on real images. Finally, we will outline some of the more recent developments in this rapidly evolving field. ================================================================================ For additional information contact: Charlie Brown School of Computer Studies University of Leeds LEEDS LS2 9JT tel: 0532-335463 (fax: -335468) e-mail: charlie@uk.ac.leeds.scs ================================================================================ ------------------------------ Date: Mon, 3 Aug 92 18:05:31 PDT From: "Wayne Niblack" <niblack@almaden.ibm.com> Subject: Call for Papers for SPIE Image Storage and Retrieval, Jan 1993 Announcement and Call for Papers SPIE / IS&T Symposium on Electronic Imaging Science and Technology Storage and Retrieval for Image and Video Databases January 31 - February 5, 1993 San Jose Convention Center San Jose, California Conference Co-Chairs Alan Bell and Wayne Niblack IBM Almaden Research Center Continuing advances in the density of data storage technologies coupled with increasingly efficient approaches to image and video data compression have resulted in an expanding opportunity for storage intensive applications involving these data. To be effective, such applications demand innovative approaches to a variety of issues including the storage subsystem platform(s), automatic and manually entered descriptors, indexing and retrieval methods, and user interface. The purpose of this conference is to bring together those engaged in the hardware aspects of the storage systems, the software issues of storage hierarchies and "intelligent", content-based retrieval, and those doing the definition of requirements and the system and application development. Papers are solicited in the following areas: * Image and video databases * Optical disk or magnetic tape library systems * Hierarchical storage systems * Storage management for large image/video databases * Intelligent retrieval methods such as content-based indexing and geometric/structural hashing * Visual query languages * Query by image example and/or sketch * Semantic queries based on image descriptors * Similarity retrieval for image and video data * Image and/or digital video applications * Applications and systems of image and video databases in areas such as biomedical, publishing, journalism, GIS, and cataloging Submit a 500 word abstract by August 15, 1992 to Wayne Niblack (niblack@almaden.ibm.com). Include the paper title, principal author's complete address (including telephone, fax, mail, and e-mail), and brief author biography (50 to 100 words, principal author only). Papers may also be mailed: Wayne Niblack K54/802 IBM Almaden Research Center 650 Harry Road San Jose, CA 95120-6099 or faxed: 408-927-4049 or 408-997-4662 or 408-927-2100 Abstract due date: August 15, 1992 Acceptance notification: October 15, 1992 Camera Ready Abstract due date: November 16, 1992 Manuscript due date: January 4, 1993 ------------------------------ Date: Sat, 25 Jul 92 16:28:25 BST Subject: Conference AISB'93: 2nd CFP and Revised Submission Date From: Donald Peterson <D.M.Peterson@computer-science.birmingham.ac.uk> ================================================================ AISB'93 CONFERENCE SECOND CALL FOR PAPERS (REVISED SUBMISSION DATE) Theme: "Prospects for AI as the General Science of Intelligence" 29 March -- 2 April 1993 University of Birmingham ================================================================ 1. Introduction 2. Invited talks 3. Topic areas for submitted papers 4. Timetable for submitted papers 5. Paper lengths and submission details 6. Call for referees 7. Workshops and Tutorials 8. LAGB Conference 9. Email, paper mail, phone and fax. 1. INTRODUCTION The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (one of the oldest AI societies) will hold its ninth bi-annual conference on the dates above at the University of Birmingham. The site is Manor House, a charming and convivial residential hall close to the University. Tutorials and Workshops are planned for Monday 29th March and the morning of Tuesday 30th March, and the main conference will start with lunch on Tuesday 30th March and end on Friday 2nd April. The Programme Chair is Aaron Sloman, and the Local Arrangements Organiser is Donald Peterson, both assisted by Petra Hickey. The conference will be "single track" as usual, with invited speakers and submitted papers, plus a "poster session" to allow larger numbers to report on their work, and the proceedings will be published. The conference will cover the usual topic areas for conferences on AI and Cognitive Science. However, with the turn of the century approaching, and with computer power no longer a major bottleneck in most AI research (apart from connectionism) it seemed appropriate to ask our invited speakers to look forwards rather than backwards, and so the theme of the conference will be "Prospects for AI as the general science of intelligence". Submitted papers exploring this are also welcome, in addition to the normal technical papers. 2. INVITED TALKS So far the following have agreed to give invited talks: Prof David Hogg (Leeds) "Prospects for computer vision" Prof Allan Ramsay (Dublin) "Prospects for natural language processing by machine" Prof Glyn Humphreys (Birmingham) "Prospects for connectionism - science and engineering". Prof Ian Sommerville (Lancaster) "Prospects for AI in systems design" Titles are provisional. 3. TOPIC AREAS for SUBMITTED PAPERS Papers are invited in any of the normal areas represented at AI and Cognitive Science conferences, including: AI in Design, AI in software engineering Teaching AI and Cognitive Science, Analogical and other forms of Reasoning Applications of AI, Automated discovery, Control of actions, Creativity, Distributed intelligence, Expert Systems, Intelligent interfaces Intelligent tutoring systems, Knowledge representation, Learning, Methodology, Modelling affective processes, Music, Natural language, Naive physics, Philosophical foundations, Planning, Problem Solving, Robotics, Tools for AI, Vision, Papers on neural nets or genetic algorithms are welcomed, but should be capable of being judged as contributing to one of the other topic areas. Papers may either be full papers or descriptions of work to be presented in a poster session. 4. TIMETABLE for SUBMITTED PAPERS Submission deadline: 15th September 1992 Date for notification of acceptances: 1st December 1992 Date for submission of camera ready final copy: 15th January 1993 The conference proceedings will be published. Long papers and invited papers will definitely be included. Selected poster summaries may be included if there is space. 5. PAPER LENGTH and SUBMISSION DETAILS Full papers: 10 pages maximum, A4 or 8.5"x11", no smaller than 12 point print size Times Roman or similar preferred, in letter quality print. Poster submissions 5 pages summary Excessively long papers will be rejected without being reviewed. All submissions should include 1. Full names and addresses of all authors 2. Electronic mail address if available 3. Topic area 4. Label: "Long paper" or "Poster summary" 5. Abstract no longer than 10 lines. 6. Statement certifying that the paper is not being submitted elsewhere for publication. 7. An undertaking that if the paper is accepted at least one of the authors will attend the conference. THREE copies are required. 6. CALL for REFEREES Anyone willing to act as a reviewer during September should write to the Programme Chair, with a summary CV or indication of status and experience, and preferred topic areas. 7. WORKSHOPS and TUTORIALS The first day and a half of the Conference are allocated to workshops and tutorials. These will be organised by Dr Hyacinth S. Nwana, and anyone interested in giving a workshop or tutorial should contact him at: Department of Computer Science, University of Keele, Staffs. ST5 5BG. U.K. phone: +44 782 583413, or +44 782 621111(x 3413) email JANET: nwanahs@uk.ac.keele.cs BITNET: nwanahs%cs.kl.ac.uk@ukacrl UUCP : ...!ukc!kl-cs!nwanahs other : nwanahs@cs.keele.ac.uk 8. LAGB CONFERENCE. Shortly before AISB'93, the Linguistics Association of Great Britain (LAGB) will hold its Spring Meeting at the University of Birmingham from 22-24th March, 1993. For more information, please contact Dr. William Edmondson: postal address as below; phone +44-(0)21-414-4763; email EDMONDSONWH@vax1.bham.ac.uk 9. EMAIL, PAPER MAIL, PHONE and FAX. Email: * aisb93-prog@cs.bham.ac.uk (for communications relating to submission of papers to the programme) * aisb93-delegates@cs.bham.ac.uk (for information on accommodation, meals, programme etc. as it becomes available --- enquirers will be placed on a mailing list) Address: AISB'93 (prog) or AISB'93 (delegates), School of Computer Science, The University of Birmingham, Edgbaston, Birmingham, B15 2TT, U.K. Phone: +44-(0)21-414-3711 Fax: +44-(0)21-414-4281 Donald Peterson, April 1992. ------------------------------ Date: Mon, 27 Jul 1992 07:05:06 -0400 Subject: CFP: Conference on Human Vision, Visual Processing and Digital Display Final Call for Papers: Extended Deadline August 21, 1992 Conference on HUMAN VISION, VISUAL PROCESSING and DIGITAL DISPLAY IV SPIE/IS&T Symposium on Electronic Imaging San Jose, California January 31 - February 5, 1993 The goal of this conference is to explore the role of human vision, perception, and cognition in the design, analysis, and use of imaging systems. Papers are welcome on basic and applied research in 1) the perception of digitally sampled spatial, color, dynamic, or stereo images; 2) the application of models for human vision, perception, and cognition to the design systems which scan, generate, process, compress, and display electronic images; 3) the perceptual and cognitive requirements for evaluating, manipulating, and interpreting digital images in conventional and virtual environments. Papers are invited in these and related topics: o Models of Human Vision, Perception, and Cognition o Color Perception and its Applications o Psychophysical Assessment of Image Quality o Quantization and Halftoning o Vision-Based Algorithms for Image Processing o Higher-Level Processes: Semantics, Attention, Task-dependence o Perception and Performance in Virtual Environments o Interactive Visualization, Manipulation and Exploration Send 200-500 word abstract to the SPIE, or to the Conference Chairs: SPIE 1000 20th Street, Bellingham, VA, 98225 (206) 676-3290 fax: (206) 647-1445 spie@nessie.wwu.edu Dr. Bernice Rogowitz, IBM Research. rogowtz@watson.ibm.com Dr. Jan Allebach, Purdue University, allebach@ecn.purdue.edu ------------------------------ End of VISION-LIST digest 11.28 ************************ 
