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

Qingxiong Yang, Liang Wang, Ruigang Yang, Henrik Stewénius, David Nistér

CVPR 2006 pp. 2347-2354

doi:10.1109/CVPR.2006.292 /cvpr/2006/yang2006cvpr-stereo/

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 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 set, showing that our algorithm is the top performer.

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Cite

Text

Yang et al. "Stereo Matching with Color-Weighted Correlation, Hierarchical Belief Propagation and Occlusion Handling." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006. doi:10.1109/CVPR.2006.292

Markdown

[Yang et al. "Stereo Matching with Color-Weighted Correlation, Hierarchical Belief Propagation and Occlusion Handling." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006.](https://mlanthology.org/cvpr/2006/yang2006cvpr-stereo/) doi:10.1109/CVPR.2006.292

BibTeX

@inproceedings{yang2006cvpr-stereo,
  title     = {{Stereo Matching with Color-Weighted Correlation, Hierarchical Belief Propagation and Occlusion Handling}},
  author    = {Yang, Qingxiong and Wang, Liang and Yang, Ruigang and Stewénius, Henrik and Nistér, David},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2006},
  pages     = {2347-2354},
  doi       = {10.1109/CVPR.2006.292},
  url       = {https://mlanthology.org/cvpr/2006/yang2006cvpr-stereo/}
}