Title :
Epipolar geometry and linear subspace methods: a new approach to weak calibration
Author :
Ponce, Jean ; Genc, Yakup
Author_Institution :
Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
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
Keywords :
calibration; motion estimation; epipolar geometry; finite motion; linear subspace; motion estimation; point correspondences; uncalibrated perspective cameras; weak calibration; Calibration; Cameras; Computational geometry; Computer science; Information geometry; Iterative algorithms; Motion estimation; Stereo vision; Testing; Transmission line matrix methods;
Conference_Titel :
Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-8186-7259-5
DOI :
10.1109/CVPR.1996.517160