ML Anthology

Stereopsis and Image Registration from Extended Edge Features in the Absence of Camera Pose Information

Nitin M. Vaidya, Kim L. Boyer
CVPR 1991 pp. 76-82
doi:10.1109/CVPR.1991.139664 /cvpr/1991/vaidya1991cvpr-stereopsis/

Abstract

The authors solve the stereo correspondence problem in uncalibrated domains using extended edge contours as a source of primitives, as opposed to traditional point-based algorithms. This work represents a novel approach to implementation of the structural stereopsis concept of K.L. Boyr and A.C. Kak (1988), in particular with regard to speed. Judiciously exploiting the contiguity relation among primitives, correspondence solutions without prior knowledge of the epipolar condition for feature-rich stereopairs, previously requiring several days of processing by the Boyer and Kak algorithm are now acquired in tens of seconds on the same equipment.< <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

Vaidya and Boyer. "Stereopsis and Image Registration from Extended Edge Features in the Absence of Camera Pose Information." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139664

Markdown

[Vaidya and Boyer. "Stereopsis and Image Registration from Extended Edge Features in the Absence of Camera Pose Information." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/vaidya1991cvpr-stereopsis/) doi:10.1109/CVPR.1991.139664

BibTeX

@inproceedings{vaidya1991cvpr-stereopsis,
  title     = {{Stereopsis and Image Registration from Extended Edge Features in the Absence of Camera Pose Information}},
  author    = {Vaidya, Nitin M. and Boyer, Kim L.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {76-82},
  doi       = {10.1109/CVPR.1991.139664},
  url       = {https://mlanthology.org/cvpr/1991/vaidya1991cvpr-stereopsis/}
}