Analysis of disparity gradient based cooperative stereo

This paper argues that the disparity gradient subsumes various constraints for stereo matching, and can thus be used as the basis of a unified cooperative stereo algorithm. Traditionally, selection of the neighborhood support function (NSF) in cooperative stereo was left as a heuristic exercise. We...

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Bibliographic Details
Published in:IEEE transactions on image processing 1996, Vol.5 (11), p.1493-1506
Main Authors: LI, Z.-N, HU, G
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
Councils
Equations
Error correction
Exact sciences and technology
Humans
Image processing
Information, signal and communications theory
Layout
Machine vision
Signal processing
Stereo vision
Telecommunications and information theory
Testing
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Summary:This paper argues that the disparity gradient subsumes various constraints for stereo matching, and can thus be used as the basis of a unified cooperative stereo algorithm. Traditionally, selection of the neighborhood support function (NSF) in cooperative stereo was left as a heuristic exercise. We present an analysis and evaluation of three families of NSFs based on the disparity gradient. It is shown that an exponential decay function with a conveniently selectable parameter is well behaved in that it yields the least error, converges steadily, and produces correctly located weak-winners. The discovery of the well-behaved function facilitates the success of the disparity gradient based approach. It is suggested that this function will help a two-pass algorithm in resolving the dilemma of surface continuity and discontinuity/occlusion. In our experiments, the unified cooperative stereo-matching algorithm is tested on random-dot stereograms containing opaque and transparent surfaces. It is also shown to be applicable to both area matching and contour matching in real-world images.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.541420