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  • Title: Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling.
    Author: Yang Q, Wang L, Yang R, Stewénius H, Nistér D.
    Journal: IEEE Trans Pattern Anal Mach Intell; 2009 Mar; 31(3):492-504. PubMed ID: 19147877.
    Abstract:
    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.
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