Laser & Optoelectronics Progress, Volume. 56, Issue 22, 221504(2019)

Three-Dimensional Point Cloud Registration Based on Maximum Sum of Squares of Correlation Coefficients

Changwei Miao*, Zhirong Tang, and Yingjie Tang
Author Affiliations
  • College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, Sichuan 610059, China
  • show less
    References(16)

    [1] Besl P J. McKay N D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 239-256(1992).

    [2] Rusu R B, Blodow N, Marton Z C et al. Aligning point cloud views using persistent feature histograms. [C]∥2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, September 22-26, 2008, Nice, France. New York: IEEE, 3384-3391(2008).

    [5] Ying S H, Peng J G, Du S Y et al. A scale stretch method based on ICP for 3D data registration[J]. IEEE Transactions on Automation Science and Engineering, 6, 559-565(2009).

    [9] Prakhya S M, Liu B B, Lin W S et al. B-SHOT: a binary 3D feature descriptor for fast keypoint matching on 3D point clouds[J]. Autonomous Robots, 41, 1501-1520(2017).

    [11] Quan S W, Ma J, Hu F Y et al. Local voxelized structure for 3D binary feature representation and robust registration of point clouds from low-cost sensors[J]. Information Sciences, 444, 153-171(2018).

    Tools

    Get Citation

    Copy Citation Text

    Changwei Miao, Zhirong Tang, Yingjie Tang. Three-Dimensional Point Cloud Registration Based on Maximum Sum of Squares of Correlation Coefficients[J]. Laser & Optoelectronics Progress, 2019, 56(22): 221504

    Download Citation

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

    Category: Machine Vision

    Received: Apr. 2, 2019

    Accepted: May. 17, 2019

    Published Online: Nov. 2, 2019

    The Author Email: Miao Changwei (853360040@qq.com)

    DOI:10.3788/LOP56.221504

    Topics