A General Expression of the Fundamental Matrix for Both Perspective and Affine Cameras

Abstract

This paper addresses the recovery of structure and motion from two uncalibrated images of a scene under full perspective or under affine projection. Epipolar geometry, projective reconstruction, and affine reconstruction are elaborated in a way such that everyone having knowledge of linear algebra can understand the discussion without difficulty. A general expression of the fundamental matrix is derived which is valid for any projection model without lens distortion (including full perspective and affine camera). A new technique for affine reconstruction from two affine images is developed, which consists in first estimating the affine epipolar geometry and then performing a triangulation for each point match with respect to an implicit common affine basis. This technique is very efficient.

Cite

Text

Zhang and Xu. "A General Expression of the Fundamental Matrix for Both Perspective and Affine Cameras." International Joint Conference on Artificial Intelligence, 1997.

Markdown

[Zhang and Xu. "A General Expression of the Fundamental Matrix for Both Perspective and Affine Cameras." International Joint Conference on Artificial Intelligence, 1997.](https://mlanthology.org/ijcai/1997/zhang1997ijcai-general/)

BibTeX

@inproceedings{zhang1997ijcai-general,
  title     = {{A General Expression of the Fundamental Matrix for Both Perspective and Affine Cameras}},
  author    = {Zhang, Zhengyou and Xu, Gang},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1997},
  pages     = {1502-1510},
  url       = {https://mlanthology.org/ijcai/1997/zhang1997ijcai-general/}
}