On the Derivation of Geometric Constraints in Stereo

Stewart, Charles V.

doi:10.1109/CVPR.1992.223177

On the Derivation of Geometric Constraints in Stereo

Charles V. Stewart

CVPR 1992 pp. 769-772

doi:10.1109/CVPR.1992.223177 /cvpr/1992/stewart1992cvpr-derivation/

Abstract

Probability density functions (PDFs) are derived for many of the geometric measurements upon which stereo matching techniques are based, including orientation differences between matching line segments or curves, the gradient of disparity, the directional derivative of disparity, and disparity differences between matches. The PDFs resulting from the transformations are used to critically examine many existing stereo techniques. Several techniques based on these PDFs are proposed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Stewart. "On the Derivation of Geometric Constraints in Stereo." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223177

Markdown

[Stewart. "On the Derivation of Geometric Constraints in Stereo." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/stewart1992cvpr-derivation/) doi:10.1109/CVPR.1992.223177

BibTeX

@inproceedings{stewart1992cvpr-derivation,
  title     = {{On the Derivation of Geometric Constraints in Stereo}},
  author    = {Stewart, Charles V.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {769-772},
  doi       = {10.1109/CVPR.1992.223177},
  url       = {https://mlanthology.org/cvpr/1992/stewart1992cvpr-derivation/}
}