ML Anthology

Epipolar Geometry and Linear Subspace Methods: A New Approach to Weak Calibration

Jean Ponce, Yakup Genc
CVPR 1996 pp. 776-781
doi:10.1109/CVPR.1996.517160 /cvpr/1996/ponce1996cvpr-epipolar/

Abstract

This paper addresses the problem of estimating the epipolar geometry from point correspondences between two images taken by uncalibrated perspective cameras. It is shown that Jepson's and Heeger's linear subspace technique for infinitesimal motion estimation can be generalized to the finite motion case by choosing an appropriate basis for projective space. This yields a linear method for weak calibration. The proposed algorithm has been implemented and tested on both real and synthetic images, and it is compared to other linear and non-linear approaches to weak calibration.

CVPR Semantic Scholar

Cite

Text

Ponce and Genc. "Epipolar Geometry and Linear Subspace Methods: A New Approach to Weak Calibration." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996. doi:10.1109/CVPR.1996.517160

Markdown

[Ponce and Genc. "Epipolar Geometry and Linear Subspace Methods: A New Approach to Weak Calibration." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996.](https://mlanthology.org/cvpr/1996/ponce1996cvpr-epipolar/) doi:10.1109/CVPR.1996.517160

BibTeX

@inproceedings{ponce1996cvpr-epipolar,
  title     = {{Epipolar Geometry and Linear Subspace Methods: A New Approach to Weak Calibration}},
  author    = {Ponce, Jean and Genc, Yakup},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1996},
  pages     = {776-781},
  doi       = {10.1109/CVPR.1996.517160},
  url       = {https://mlanthology.org/cvpr/1996/ponce1996cvpr-epipolar/}
}