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Optical Engineering

Stereo matching based on color and disparity segmentation by belief propagation
Author(s): Xiuzhi Zhou; Runsheng Wang
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Paper Abstract

Segment-based stereo matching algorithms are not able to deal with the difficulty that disparity boundaries appear inside the initial color segments. To solve this problem, we propose a novel algorithm that segments the reference image by combining color and depth segmentation information. Then we construct the energy function in segment domain, which embodies the smoothness and visibility constraints to penalize the discontinuities of edge pixels and potential occluded regions, respectively. Finally, the optimal disparity plane labeling is approximated by applying loopy belief propagation. Experimental results on the benchmark images demonstrate that our algorithm is comparable to the state-of-the-art algorithms.

Paper Details

Date Published: 1 April 2007
PDF: 8 pages
Opt. Eng. 46(4) 043203 doi: 10.1117/1.2722761
Published in: Optical Engineering Volume 46, Issue 4
Show Author Affiliations
Xiuzhi Zhou, National Univ. of Defense Technology (China)
Runsheng Wang, National Univ. of Defense Technology (China)

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