Laser & Optoelectronics Progress, Volume. 62, Issue 4, 0415009(2025)

Robust Point Cloud Registration Method with Voxel Feature Fusion

Liangliang Qian1,2、*, Wen Nie1,2, Haosheng Zhang1,2, and Tianqiang Zhu2
Author Affiliations
  • 1School of Advanced Manufacturing, Fuzhou University, Quanzhou 362200, Fujian , China
  • 2Quanzhou Institute of Equipment Manufacturing, Haixi Institute, Chinese Academy of Sciences, Quanzhou 362200, Fujian ,China
  • show less
    References(20)

    [3] Hong S D, Cheng H J, Xu C X et al. LSNFS: a local feature description algorithm with high discrimination and strong robustness[J]. Laser & Optoelectronics Progress, 61, 2215001(2024).

    [4] Wu F, Zhao X C, Zhan P L et al. FPFH feature extraction algorithm based on adaptive neighborhood selection[J]. Computer Science, 46, 266-270(2019).

    [9] Zhang Y, Shi Z P, Pang M et al. A color point cloud registration algorithm integrating shape and texture[J]. Laser & Optoelectronics Progress, 61, 2215003(2024).

    [13] Lu T D, Yuan Z C, Zheng K. Super 4PCS point cloud registration algorithm combining scale invariant features[J]. Remote Sensing Information, 34, 15-20(2019).

    [14] Li J L, Li Z R, Zhao Y et al. A fast registration method for massive point clouds based on 3D-SIFT and 4PCS[J]. Computer and Modernization, 1-6(2024).

    Tools

    Get Citation

    Copy Citation Text

    Liangliang Qian, Wen Nie, Haosheng Zhang, Tianqiang Zhu. Robust Point Cloud Registration Method with Voxel Feature Fusion[J]. Laser & Optoelectronics Progress, 2025, 62(4): 0415009

    Download Citation

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

    Category: Machine Vision

    Received: May. 27, 2024

    Accepted: Jul. 29, 2024

    Published Online: Feb. 26, 2025

    The Author Email:

    DOI:10.3788/LOP241371

    CSTR:32186.14.LOP241371

    Topics