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1994-08-19
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Title:Terrain reconstruction from oblique views
Author: Howard Schultz
Affiliation: Computer Vision Research Laboratory
Department of Computer Science,
University of Massachusetts, Box 34610
Amherst, MA 0l003-4610
Abstract:
When a disparity map is computed from widely separated images
the perspective distortion may result in a large number of false
matches and poor reconstruction accuracy. This paper describes
three image matching algorithms designed specifically to process
images taken from widely varying viewpoints. They include a new
match score, and modifications to standard subpixel and hierarchical
matching techniques. The algorithms are incorporated into a
stereo analysis package and the system is tested by processing
a sequence of simulated images with base-to-height ratios that
varied between 0.25 and 2.25, and a single pair of high altitude
images with a base-to-height ratio of 0.63. Analysis of the
simulated data showed that when these algorithms are implemented
the reconstruction accuracy remains independent of the
base-to-height ratio.
Keywords: Stereo vision, 3-D reconstruction, Terrain modeling.
Image matching, Subpixel registration.