DocumentCode :
457008
Title :
A Novel Linear Approach to Camera Calibration from Sphere Images
Author :
Ying, Xianghua ; Zha, Hongbin
Author_Institution :
National Lab. on Machine Perception, Peking Univ., Beijing
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
535
Lastpage :
538
Abstract :
Recently, some linear approaches to camera calibration from sphere images are proposed. In this paper, a novel linear approach is proposed by exploiting the identity constraint on the entries of the matrices for the sphere images, which is much simpler and more intuitive than previous linear ones. This novel algorithm has been tested in extensive experiments with respect to noise sensitivity
Keywords :
calibration; cameras; computer vision; matrix algebra; camera calibration; image recovery; noise sensitivity; sphere images; Algebra; Calibration; Cameras; Laboratories; Matrix decomposition; Nonlinear equations; Pattern recognition; Testing; Thyristors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.140
Filename :
1698949
Link To Document :
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