APPLIED LASER, Volume. 44, Issue 5, 201(2024)

Point Cloud Registration Method Based on Down Sampling Optimization

Wang Ming1, Deng Zhiliang1,2, Yan Fei1,2, and Liu Jia1,2、*
Author Affiliations
  • 1Automation College Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China
  • 2Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210044, Jiangsu, China
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    References(7)

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    [8] [8] MAGNUSSON M, ANDREASSON H, NUCHTER A, et al. Appearance-based loop detection from 3D laser data using the normal distributions transform[C]//2009 IEEE International Conference on Robotics and Automation. Kobe. IEEE, 2009: 23-28.

    [9] [9] MAGNUSSON M. The three-dimensional normal-distributions transform: an efficient representation for registration, surface analysis, and loop detection[D]. rebro: rebro Universitet, 2009: 12-17.

    [11] [11] ZHONG Y. Intrinsic shape signatures: A shape descriptor for 3D object recognition[C]//2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops. Kyoto, Japan: IEEE, 2009: 689-696.

    [14] [14] BESL P J, MCKAYN D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2): 239-256.

    [15] [15] DU S Y, ZHENG N N, YING S H, et al. Affine iterative closest point algorithm for point set registration[J]. Pattern Recognition Letters, 2010, 31(9): 791-799.

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    Wang Ming, Deng Zhiliang, Yan Fei, Liu Jia. Point Cloud Registration Method Based on Down Sampling Optimization[J]. APPLIED LASER, 2024, 44(5): 201

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    Paper Information

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    Received: Sep. 28, 2022

    Accepted: Dec. 13, 2024

    Published Online: Dec. 13, 2024

    The Author Email: Jia Liu (liujia@nuist.edu.cn)

    DOI:10.14128/j.cnki.al.20244405.201

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