Stereo matching with color-weighted correlation, hierarchical belief propagation and occlusion handling (2006) [6 citations — 0 self]
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by Qìngxióng Yáng, Liang Wang, Ruigang Yang, Henrik Stewénius, David Nistér
In CVPR
http://www.vis.uky.edu/~stewe/publications/yang_double_bp_cvpr2006.pdf
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Abstract:
In this paper, we formulate an algorithm for the stereo matching problem with careful handling of disparity, discontinuity and occlusion. The algorithm works with a global matching stereo model based on an energyminimization framework. The global energy contains two terms, the data term and the smoothness term. The data term is first approximated by a color-weighted correlation, then refined in occluded and low-texture areas in a repeated application of a hierarchical loopy belief propagation algorithm. The experimental results are evaluated on the Middlebury data set, showing that our algorithm is the top performer. 1.
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