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Proceedings Paper

Stereoscopic correspondence by applying physical constraints and statistical observations to dissimilarity map
Author(s): Tsi Yi Chao; Sheng-Jyh Wang; Hsueh-Ming Hang
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Paper Abstract

To deal with the correspondence problem in stereo imaging, a new approach is presented to find the disparity information on a newly defined dissimilarity map (DSMP). Base don an image formation model of stereo images and some statistical observations, two constraints and four assumptions are adopted. In addition, a few heuristic criteria are developed to define a unique solution. All these constraints, assumptions and criteria are applied to the DSMP to find the correspondence. At first, the Epipolar Constraint, the Valid Pairing Constraint and the Lambertian Surface Assumption are applied to DSMP to locate the Low Dissimilarity Zones (LDZs). Then, the Opaque Assumption and the Minimum Occlusion Assumption are applied to LDZs to obtain the admissible LDZ sets. Finally, the Depth Smoothness Assumption and some other criteria are applied to the admissible LDZ sets to produce the final answer. The focus of this paper is to find the constraints and assumptions in the stereo correspondence problem and then properly convert these constraints and assumptions into executable procedures on the DSMP. In addition to its ability in estimating occlusion accurately, this approach works well even when the commonly used monotonic ordering assumption is violated. The simulation results show that occlusions can be properly handled and the disparity map can be calculated with a fairly high degree of accuracy.

Paper Details

Date Published: 3 May 2000
PDF: 12 pages
Proc. SPIE 3957, Stereoscopic Displays and Virtual Reality Systems VII, (3 May 2000); doi: 10.1117/12.384432
Show Author Affiliations
Tsi Yi Chao, National Chiao Tung Univ. (Taiwan)
Sheng-Jyh Wang, National Chiao Tung Univ. (Taiwan)
Hsueh-Ming Hang, National Chiao Tung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 3957:
Stereoscopic Displays and Virtual Reality Systems VII
John O. Merritt; Stephen A. Benton; Andrew J. Woods; Mark T. Bolas; Mark T. Bolas, Editor(s)

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