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 :
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