DocumentCode
2754977
Title
A new linear method for Euclidean motion/structure from three calibrated affine views
Author
Quan, Long ; Ohta, Yuichi
Author_Institution
GRAVIR-INRIA, CNRS, Montbonnot, France
fYear
1998
fDate
23-25 Jun 1998
Firstpage
172
Lastpage
177
Abstract
We introduce a unified framework for developing matching constraints of multiple affine views and rederive 2-view (affine epipolar geometry) and 3-view (affine image transfer) constraints within this framework. We then describe a new linear method for Euclidean motion and structure from 3 calibrated affine images, based on insight into the particular structure of these multiple-view constraints. Compared with the existing linear method of Huang and Lee (1989), the new method uses different and more appropriate constraints. It has no failure mode of the Euclidean factorisation method of Tomasi and Kanade (1992). We demonstrate the method on real image sequences
Keywords
image matching; image sequences; motion estimation; Euclidean motion; affine epipolar geometry; affine image transfer; affine views; image sequences; matching constraints; Cameras; Image generation; Image reconstruction; Image sequences; Information geometry; Read only memory; Reflection; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
Conference_Location
Santa Barbara, CA
ISSN
1063-6919
Print_ISBN
0-8186-8497-6
Type
conf
DOI
10.1109/CVPR.1998.698605
Filename
698605
Link To Document