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