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CLC number: TP242.6+2

On-line Access: 2008-05-10

Received: 2007-10-31

Revision Accepted: 2008-02-20

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Journal of Zhejiang University SCIENCE A 2008 Vol.9 No.6 P.799~806


New multi-camera calibration algorithm based on 1D objects

Author(s):  Zi-jian ZHAO, Yun-cai LIU

Affiliation(s):  Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China

Corresponding email(s):   zj_zhao@sjtu.edu.cn, whomliu@sjtu.edu.cn

Key Words:  Multi-camera calibration, Homography, Factorization, Scaled measurement matrix, Projective depth

Zi-jian ZHAO, Yun-cai LIU. New multi-camera calibration algorithm based on 1D objects[J]. Journal of Zhejiang University Science A, 2008, 9(6): 799~806.

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A1 - Zi-jian ZHAO
A1 - Yun-cai LIU
J0 - Journal of Zhejiang University Science A
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A071573

A new calibration algorithm for multi-camera systems using 1D calibration objects is proposed. The algorithm integrates the rank-4 factorization with Zhang (2004)’s method. The intrinsic parameters as well as the extrinsic parameters are recovered by capturing with cameras the 1D object’s rotations around a fixed point. The algorithm is based on factorization of the scaled measurement matrix, the projective depth of which is estimated in an analytical equation instead of a recursive form. For more than three points on a 1D object, the approach of our algorithm is to extend the scaled measurement matrix. The obtained parameters are finally refined through the maximum likelihood inference. Simulations and experiments with real images verify that the proposed technique achieves a good trade-off between the intrinsic and extrinsic camera parameters.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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