ML Anthology

Local, Global, and Multilevel Stereo Matching

Yibing Yang, Alan L. Yuille, Jie Lu
CVPR 1993 pp. 274-279
doi:10.1109/CVPR.1993.340969 /cvpr/1993/yang1993cvpr-local/

Abstract

A computational framework is introduced for matching a pair of stereo images which, in contrast to existing algorithms, features a self-contained local matching module cascaded with a global matching module. Local matching outputs a 3-D grey-scale image in which each and every point has an intensity measuring the goodness of a possible match. Global matching reduces to surface detection in this image. To detect the surface, it is first enhanced, employing a hyperpyramid data structure. Unlike traditional multiresolution approaches, which are based on the coarse-to-fine continuation method, the authors' multilevel method emphasizes a fine-to-coarse process in which local support is accumulated. The algorithm is concise, efficient and above all, gives good results for complex scenes.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Yang et al. "Local, Global, and Multilevel Stereo Matching." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.340969

Markdown

[Yang et al. "Local, Global, and Multilevel Stereo Matching." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/yang1993cvpr-local/) doi:10.1109/CVPR.1993.340969

BibTeX

@inproceedings{yang1993cvpr-local,
  title     = {{Local, Global, and Multilevel Stereo Matching}},
  author    = {Yang, Yibing and Yuille, Alan L. and Lu, Jie},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {274-279},
  doi       = {10.1109/CVPR.1993.340969},
  url       = {https://mlanthology.org/cvpr/1993/yang1993cvpr-local/}
}