DocumentCode
2645362
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
fYear
1996
fDate
18-20 Jun 1996
Firstpage
776
Lastpage
781
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
Conference_Location
San Francisco, CA
ISSN
1063-6919
Print_ISBN
0-8186-7259-5
Type
conf
DOI
10.1109/CVPR.1996.517160
Filename
517160
Link To Document