ML Anthology

Varying Focal Length Self-Calibration and Pose Estimation from Two Images

Benny Rousso, Erez Shilat
CVPR 1998 pp. 469-474
doi:10.1109/CVPR.1998.698647 /cvpr/1998/rousso1998cvpr-varying/

Abstract

This paper presents a self-calibration and pose estimation method that uses two cameras which only differ by focal length. The estimation of the rotation and focal lengths is independent of the translation recovery. Unlike most methods, we do not initialize our recovery with the projective camera. Instead we estimate the ego-motion and calibration from 3 homographies. These homographies can be easily obtained from a fundamental matrix or a trifocal tensor.

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Cite

Text

Rousso and Shilat. "Varying Focal Length Self-Calibration and Pose Estimation from Two Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998. doi:10.1109/CVPR.1998.698647

Markdown

[Rousso and Shilat. "Varying Focal Length Self-Calibration and Pose Estimation from Two Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998.](https://mlanthology.org/cvpr/1998/rousso1998cvpr-varying/) doi:10.1109/CVPR.1998.698647

BibTeX

@inproceedings{rousso1998cvpr-varying,
  title     = {{Varying Focal Length Self-Calibration and Pose Estimation from Two Images}},
  author    = {Rousso, Benny and Shilat, Erez},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1998},
  pages     = {469-474},
  doi       = {10.1109/CVPR.1998.698647},
  url       = {https://mlanthology.org/cvpr/1998/rousso1998cvpr-varying/}
}