Finding Point Correspondences and Determining Motion of a Rigid Object from Two Weak Perspective Views

Lee, Chia-Hoang; Huang, Thomas S.

doi:10.1109/CVPR.1988.196266

Finding Point Correspondences and Determining Motion of a Rigid Object from Two Weak Perspective Views

Chia-Hoang Lee, Thomas S. Huang

CVPR 1988 pp. 398-403

doi:10.1109/CVPR.1988.196266 /cvpr/1988/lee1988cvpr-finding/

Abstract

The authors present a method which reduces an n-point problem to a set of four-point problems. The effort of reduction takes O(n) steps and it also takes O(n) steps to construct all possible mappings of an n-point set from the solution to a four-problem. Other results include (1) coplanarity condition of four points in two views, (2) recovering the tilt direction of the rotational axis using four points in two views, and (3) recovering the scaling factor.< <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

Lee and Huang. "Finding Point Correspondences and Determining Motion of a Rigid Object from Two Weak Perspective Views." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196266

Markdown

[Lee and Huang. "Finding Point Correspondences and Determining Motion of a Rigid Object from Two Weak Perspective Views." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/lee1988cvpr-finding/) doi:10.1109/CVPR.1988.196266

BibTeX

@inproceedings{lee1988cvpr-finding,
  title     = {{Finding Point Correspondences and Determining Motion of a Rigid Object from Two Weak Perspective Views}},
  author    = {Lee, Chia-Hoang and Huang, Thomas S.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {398-403},
  doi       = {10.1109/CVPR.1988.196266},
  url       = {https://mlanthology.org/cvpr/1988/lee1988cvpr-finding/}
}