Laser & Optoelectronics Progress, Volume. 58, Issue 6, 611003(2021)

Improved ICP Point Cloud Registration Algorithm Based on Fast Point Feature Histogram

Liu Yuzhen1, Zhang Qiang1、*, and Lin Sen2
Author Affiliations
  • 1College of Electronic and Information Engineering, Liaoning University of Engineering and Technology, Huludao, Liaoning 125105, China
  • 2College of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, Liaoning 110159, China
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    References(20)

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    [8] Rusu R B, Blodow N, Beetz M. Fast point feature histograms (FPFH) for 3D registration[C]∥2009 IEEE International Conference on Robotics and Automation, May 12-17, 2009, Kobe, Japan., 3212-3217(2009).

    [11] Bentley J L. Multidimensional binary search trees used for associative searching[J]. Communications of the ACM, 18, 509-517(1975).

    [12] Greenspan M, Yurick M. Approximate k-d tree search for efficient ICP[C]∥Fourth International Conference on 3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings, October 6-10, 2003, Banff, Alta., Canada., 442-448(2003).

    [13] Jost T, Hugli H. A multi-resolution ICP with heuristic closest point search for fast and robust 3D registration of range images[C]∥Fourth International Conference on 3-D Digital Imaging and Modeling, 2003.3DIM 2003. P, 427-433(2003).

    [14] Guan W, Li W T, Ren Y. Point cloud registration based on improved ICP algorithm[C]∥2018 Chinese Control And Decision Conference (CCDC), June 9-11, 2018, Shenyang, China., 1461-1465(2018).

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    Liu Yuzhen, Zhang Qiang, Lin Sen. Improved ICP Point Cloud Registration Algorithm Based on Fast Point Feature Histogram[J]. Laser & Optoelectronics Progress, 2021, 58(6): 611003

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    Paper Information

    Category: Imaging Systems

    Received: Sep. 24, 2020

    Accepted: --

    Published Online: Mar. 1, 2021

    The Author Email: Qiang Zhang (1351511023@qq.com)

    DOI:10.3788/LOP202158.0611003

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