Electronics Optics & Control, Volume. 32, Issue 5, 74(2025)

Point Cloud Registration Based on Sampling Rate Optimization and Descriptor Extracting Improvement

WU Menglong1, MOU Peng2, RAN Chengping1,3, and ZHAO Xianyu1,3
Author Affiliations
  • 1Luoyang Institute of Electro-Optical Equipment, AVIC, Luoyang 471000, China
  • 2AVIC Chengdu Aircraft Industry (Group) Co. , Ltd, Chengdu 610000, China
  • 3Changchun University of Science and Technology, Changchun 130000, China
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    References(4)

    [7] [7] BESL P J, MCKAY N D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2): 239-256.

    [8] [8] LE H M, DO T T, HOANG T, et al. SDRSAC: semidefinite-based randomized approach for robust point cloud registration without correspondences[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). Long Beach: IEEE, 2019: 124-133.

    [11] [11] CAO T, LIU Y P, DAI J J, et al. Local scanned point-cloud registration of aeroengine pipeline system based on axialconstraints[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 2527011.

    [14] [14] YANG H C, LIANG D K, ZHANG D Y, et al. AVS-Net: point sampling with adaptive voxel size for 3D scene understanding[R]. Los Alamos: arXiv Preprint, 2024: arXiv: 2402. 17521.

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    WU Menglong, MOU Peng, RAN Chengping, ZHAO Xianyu. Point Cloud Registration Based on Sampling Rate Optimization and Descriptor Extracting Improvement[J]. Electronics Optics & Control, 2025, 32(5): 74

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    Paper Information

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    Received: Nov. 25, 2024

    Accepted: May. 13, 2025

    Published Online: May. 13, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2025.05.012

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