DocumentCode :
354264
Title :
Self-calibration algorithm of rotation cameras
Author :
Hongchua, Yu ; Fuchao, Wu ; Bo, Yuan ; Sui, Wei
Author_Institution :
Inst. of AI, Anhui Univ., Hefei, China
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1321
Abstract :
We overcome the shortcomings of Hartley´s self-salibration algorithm, and obtain the following major results: 1) a rotation camera about coordinate axis, the formula of camera intrinsic parameters and practical algorithm are obtained; and 2) a rotation camera about unknown axis. A family of camera intrinsic parameter matrix, consisting with 2D projective transformation, can be obtained. It was proved that the local camera intrinsic parameter matrix can be uniquely determined through the method based on two different unknown rotational axes. Meanwhile, its practical algorithm is provided. Tests with synthetic data and real images indicate that the algorithms presented are robust and practical
Keywords :
calibration; computer vision; matrix algebra; self-adjusting systems; 2D projective transformation; coordinate axis; intrinsic parameter matrix; rotation cameras; self-calibration; Artificial intelligence; Calibration; Cameras; Layout; Lenses; Matrix decomposition; Noise robustness; Nonlinear equations; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.863459
Filename :
863459
Link To Document :
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