ML Anthology

Hierarchical Region Based Stereo Matching

Laurent Cohen, Laurent Vinet, Peter T. Sander, André Gagalowicz
CVPR 1989 pp. 416-421
doi:10.1109/CVPR.1989.37880 /cvpr/1989/cohen1989cvpr-hierarchical/

Abstract

Stereo matching is the process of determining correspondences between entities in related images. Often, this is treated as two quite independent subprocesses, namely, segmentation, followed by matching. These processes are treated as naturally related, in that partial matching is fed back to the segmentation and both proceed simultaneously in a cooperative fashion. Regions are considered as the primitives to be matched, since many of the shortcomings inherent in approaches based on points or lines can be overcome by taking more developed entities. The implementation is based on maintaining a hierarchy of segmented regions in each image, corresponding to analysis at differing scales. The selection of a particular segmentation in each image at a scale appropriate to each region is validated with reference to the optimal matching region in the other image. Examples of these methods, applied to a synthetic image (incorporating color) and to natural office scenes, are presented.< <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

Cohen et al. "Hierarchical Region Based Stereo Matching." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1989. doi:10.1109/CVPR.1989.37880

Markdown

[Cohen et al. "Hierarchical Region Based Stereo Matching." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1989.](https://mlanthology.org/cvpr/1989/cohen1989cvpr-hierarchical/) doi:10.1109/CVPR.1989.37880

BibTeX

@inproceedings{cohen1989cvpr-hierarchical,
  title     = {{Hierarchical Region Based Stereo Matching}},
  author    = {Cohen, Laurent and Vinet, Laurent and Sander, Peter T. and Gagalowicz, André},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1989},
  pages     = {416-421},
  doi       = {10.1109/CVPR.1989.37880},
  url       = {https://mlanthology.org/cvpr/1989/cohen1989cvpr-hierarchical/}
}