Optics and Precision Engineering, Volume. 19, Issue 11, 2782(2011)

Application of neural network with embedded orthogonal weight to calibration of camera’s intrinsic and extrinsic parameters

GE Dong-yuan1,2、*, YAO Xi-fan1, and XIANG Wen-jiang2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(14)

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    [6] [6] GE D Y, YAO X F. Precision research of camera calibration based on rayleigh principle [J]. 2009, 30(1):11-15. (in Chinese)

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    [9] [9] XU H X, WANG Y N, YUAN X F, et al.. Solution to the P5P problem with un-calibrated camera based on vector difference [J]. Acta Automatica Sinica, 2009, 35(8): 1140-1144. (in Chinese)

    [11] [11] YAO X F, LIAN ZH T, GE D Y,et al.. Approaches to model and control non-linear systems by RBF neural network [J]. International Journal of Innovative Computing, Information and Control, 2011, 7(2): 941-954.

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    GE Dong-yuan, YAO Xi-fan, XIANG Wen-jiang. Application of neural network with embedded orthogonal weight to calibration of camera’s intrinsic and extrinsic parameters[J]. Optics and Precision Engineering, 2011, 19(11): 2782

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    Paper Information

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    Received: Sep. 13, 2010

    Accepted: --

    Published Online: Dec. 5, 2011

    The Author Email: GE Dong-yuan (gordon399@163.com)

    DOI:10.3788/ope.20111911.2782

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