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Proceedings Paper

Stereo vision technique using neighborhood support criterion
Author(s): Suya ok You; Jian Liu; Faguang Wan
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Paper Abstract

Passively sensing three-dimensional structure by means of computational stereo has received a great deal of attention in the computer vision community as well as in the traditional photogrammetric and remote sensing communities. The first and most difficult step in recovering 3-D information from a pair of stereo images is that of matching points from one image of the pair to the corresponding points in the second image. In this paper we develop an edge-based, fast and effective stereo matching technique characterized by two matching stages: initial matching and consistency check. Several constraints (Epipolar, Uniqueness, Disparity continuity, Stochastic constraint and Disparity range constraint) are used to reduce the combinatorial search and the ambiguity of the false targets. With this approach, we can obtain the global optimum matches. The algorithm has been experimentally evaluated using a set of real images. The implementation and results have shown the efficacy of the proposed stereo matching technique.

Paper Details

Date Published: 1 November 1992
PDF: 5 pages
Proc. SPIE 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods, (1 November 1992); doi: 10.1117/12.131628
Show Author Affiliations
Suya ok You, Huazhong Univ. of Science and Technology (China)
Jian Liu, Huazhong Univ. of Science and Technology (China)
Faguang Wan, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 1826:
Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods
David P. Casasent, Editor(s)

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