• High Power Laser and Particle Beams
  • Vol. 32, Issue 5, 051001 (2020)
Wenxue Zhang1、2、3, Jihong Wang1、2、3、*, and Ge Ren1、2、3
Author Affiliations
  • 1Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, China
  • 2Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.11884/HPLPB202032.190444 Cite this Article
    Wenxue Zhang, Jihong Wang, Ge Ren. Optical elements defect online detection method based on camera array[J]. High Power Laser and Particle Beams, 2020, 32(5): 051001 Copy Citation Text show less
    References

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    [5] Conder A, Alger T, Azevedo S, et al. Final optics damage inspection (FODI) f the National Ignition Facility[C]Proc of SPIE. 2008:672010.

    [16] ZelnikMan L, Irani M. Multiview subspace constraints on homographies[C]International Conference on Computer Vision. 1999.

    [17] Hartley R, Zisserman A. Multiple view geometry in computer vision[M]. Cambridge: Cambridge University Press, 2003.

    [18] Zhang Z. A flexible new technique for camera calibration[J]. IEEE Trans Pattern Analysis and Machine Intelligence(TPAMI), 22, 1330-1339(2000).

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    [2] Yanhua Shao, Yupei Feng, Xiaoqiang Zhang, Hongyu Chu. Using deep learning for surface defects identification of optical components[J]. High Power Laser and Particle Beams, 2022, 34(11): 112002

    Wenxue Zhang, Jihong Wang, Ge Ren. Optical elements defect online detection method based on camera array[J]. High Power Laser and Particle Beams, 2020, 32(5): 051001
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