ML Anthology

Wide Baseline Dynamic Stereo: Approximation and Refinement

Terry E. Weymouth, Saied Moezzi
CVPR 1988 pp. 183-188
doi:10.1109/CVPR.1988.196234 /cvpr/1988/weymouth1988cvpr-wide/

Abstract

Stereo algorithms using a wide baseline must cope with a large search space on top of the problems due to noise. A single pair of images is not a reliable source of depth information. One solution is to integrate the information from several image pairs. By incrementally refining estimates of the depth as the camera changes position, it is possible to build a description of the scene which, in turn, can be used as feedback to improve the extraction of depth information. The authors have developed a stereo algorithm based on correlation matching that is especially suited to being integrated into a proposed feedback loop. They have begun experiments with the integration of depth information over a sequence into a single environmental map.< <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

Weymouth and Moezzi. "Wide Baseline Dynamic Stereo: Approximation and Refinement." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196234

Markdown

[Weymouth and Moezzi. "Wide Baseline Dynamic Stereo: Approximation and Refinement." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/weymouth1988cvpr-wide/) doi:10.1109/CVPR.1988.196234

BibTeX

@inproceedings{weymouth1988cvpr-wide,
  title     = {{Wide Baseline Dynamic Stereo: Approximation and Refinement}},
  author    = {Weymouth, Terry E. and Moezzi, Saied},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {183-188},
  doi       = {10.1109/CVPR.1988.196234},
  url       = {https://mlanthology.org/cvpr/1988/weymouth1988cvpr-wide/}
}