Stereo matching based on color and disparity segmentation by belief propagation

Xiuzhi Zhou; Runsheng Wang

doi:10.1117/1.2722761

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.

Citation Download Citation

Xiuzhi Zhou, Runsheng Wang, "Stereo matching based on color and disparity segmentation by belief propagation," Optical Engineering 46(4), 043203 (1 April 2007). https://doi.org/10.1117/1.2722761

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