A General Expression of the Fundamental Matrix for Both Perspective and Affine Cameras
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Vision. Pages 1502-1509.
Abstract
This paper addresses the recov ery 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 mod el 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 estim ating the affine epipol ar geometry and then performing a triangu l ation for each point match with respect to an implicit common affine basis. This technique is very efficient.
@inproceedings{ijcai1997p216,
title = {A General Expression of the Fundamental Matrix for Both Perspective and Affine Cameras},
author = {Zhang, Zhengyou and Xu, Gang},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {1502--1509},
year = {1997},
note = {Vision},
url = {https://ijcai.org/proceedings/1997/216},
}
TY - CPAPER TI - A General Expression of the Fundamental Matrix for Both Perspective and Affine Cameras AU - Zhang, Zhengyou AU - Xu, Gang T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 1502 EP - 1509 UR - https://ijcai.org/proceedings/1997/216 ER -Copied
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