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Stereo Matching with Color-Weighted Correlation, Hierarchical Belief Propagation, and Occlusion Handling

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5 Author(s)
Qingxiong Yang ; University of Illinois at Urbana Champaign, Urbana ; Liang Wang ; Ruigang Yang ; Henrik Stewénius
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In this paper, we formulate a stereo matching algorithm with careful handling of disparity, discontinuity, and occlusion. The algorithm works with a global matching stereo model based on an energy-minimization 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 sets, showing that our algorithm is the top performer among all the algorithms listed there.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:31 ,  Issue: 3 )