Computing Visual Correspondence with Occlusions using Graph Cuts

by Vladimir Kolmogorov, et al.

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Datum	Value	Source
TITLE	Computing Visual Correspondence with Occlusions using Graph Cuts	SVM HeaderParse 0.2
AUTHOR NAME	Vladimir Kolmogorov, et al.	user correction
ABSTRACT	Several new algorithms for visual correspondence based on graph cuts [7, 14, 17] have recently been developed. While these methods give very strong results in practice, they do not handle occlusions properly. Specifically, they treat the two input images asymmetrically, and they do not ensure that a pixel corresponds to at most one pixel in the other image. In this paper, we present a new method which properly addresses occlusions, while preserving the advantages of graph cut algorithms. We give experimental results for stereo as well as motion, which demonstrate that our method performs well both at detecting occlusions and computing disparities.	user correction
CITATIONS	3 found	ParsCit 1.0