CLC number: TP242.6+2
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 1
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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.
@article{title="New multi-camera calibration algorithm based on 1D objects",
author="Zi-jian ZHAO, Yun-cai LIU",
journal="Journal of Zhejiang University Science A",
volume="9",
number="6",
pages="799-806",
year="2008",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A071573"
}
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%A Zi-jian ZHAO
%A Yun-cai LIU
%J Journal of Zhejiang University SCIENCE A
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%P 799-806
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A071573
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T1 - New multi-camera calibration algorithm based on 1D objects
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A1 - Yun-cai LIU
J0 - Journal of Zhejiang University Science A
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SP - 799
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%@ 1673-565X
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A071573
Abstract: 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.
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