Acta Optica Sinica, Volume. 41, Issue 6, 0615001(2021)

Trinocular Stereo Visual Measurement Method for Spatial Non-Cooperative Target

An Shu1,2,3, Haodong Pei1,3、*, and Huixian Duan3,4
Author Affiliations
  • 1Key Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai 200083, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
  • 4Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China
  • show less
    References(27)

    [1] Liu X. Non-cooperative target pose estimation based on stereo vision[D]. Harbin: Harbin Institute of Technology(2019).

    [2] Guo X X[J]. Development and trend analysis of foreign human spaceflight on-orbit servicing technology Space International, 2016, 26-32.

    [3] Hao Y M, Fu S F, Fan X P et al[J]. Vision perception technology for space manipulator on-orbit service operations Unmanned Systems Technology, 2018, 54-65.

    [4] Zhu K Y, Xu X B, An X N et al. Object detection and recognition method based on binocular[J]. Proceedings of SPIE, 1120, 112094X(2019).

    [8] Pu Y B. Research on camera calibration and image matching based on trinocular vision detection[D]. Nanjing: Southeast University(2011).

    [10] An Y J. Image matching for trinocular stereo vision system Xi'an:[D]. Xidian University(2009).

    [13] Yachda M, Kitamur Y, Kamachi M[2020-09-20]. Trinocular vision: new approach for correspondence problem [2020-09-20].https: ∥www.researchgate.net/publication/243624889_Trinocular_vision_New_approach_for_correspondence_problem..

    [15] Kahmen O, Haase N, Luhmann T[2020-09-20]. Orientation of point clouds for complex surfaces in medical surgery using trinocular visual odometry and stereo ORB-SLAM2 [2020-09-20].https:∥www.researchgate.net/publication/343623541_ORIENTATION_OF_POINT_CLOUDS_FOR_COMPLEX_SURFACES_IN_MEDICAL_SURGERY_USING_TRINOCULAR_VISUAL_ODOMETRY_AND_STEREO_ORB-SLAM2..

    [16] Xiong J, Zhong S D, Liu Y et al. Automatic three-dimensional reconstruction based on four-view stereo vision using checkerboard pattern[J]. Journal of Central South University, 24, 1063-1072(2017).

    [22] Liu M. Binocular computer vision measurement and tracking research based on the ORB algorithm[D]. Harbin: Harbin Institute of Technology(2014).

    [23] Sun M Z. Research on local stereo matching algorithm for low texture area[D]. Qinhuangdao: Yanshan University(2018).

    [25] Dhond U R, Aggarwal J K. Binocular versus trinocular stereo. [C]∥IEEE International Conference on Robotics and Automation, May 13-18, 1990, Cincinnati, OH, USA. New York: IEEE, 2045-2050(1990).

    [26] Zhang Z Y. Flexible camera calibration by viewing a plane from unknown orientations. [C]∥Proceedings of the Seventh IEEE International Conference on Computer Vision, September 20-27, 1999, Kerkyra, Greece. New York: IEEE, 666-673(1999).

    [27] Fischler M A, Bolles R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of the ACM, 24, 381-395(1981).

    Tools

    Get Citation

    Copy Citation Text

    An Shu, Haodong Pei, Huixian Duan. Trinocular Stereo Visual Measurement Method for Spatial Non-Cooperative Target[J]. Acta Optica Sinica, 2021, 41(6): 0615001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Machine Vision

    Received: Sep. 21, 2020

    Accepted: Nov. 5, 2020

    Published Online: Apr. 7, 2021

    The Author Email: Pei Haodong (peihaodong@sina.com)

    DOI:10.3788/AOS202141.0615001

    Topics