Laser & Optoelectronics Progress, Volume. 61, Issue 12, 1215003(2024)

Point Cloud Denoising Algorithm Combined with Improved Radius Filtering and Local Plane Fitting

Changlong Guo1, Zhenping Xia1,2、*, Chaochao Li1, Hao Chen2, and Yuanshen Zhang2
Author Affiliations
  • 1College of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou 215009, Jiangsu , China
  • 2School of Electronic & Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, Jiangsu , China
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    References(28)

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    [12] Lu D D, Zou J G. Comparative research on denoising algorithms of 3D laser point cloud[J]. Bulletin of Surveying and Mapping, 102-105(2019).

    [22] Jiao Y N, Ma J, Zhong B B. Point cloud parallel de-noising algorithms based on scale change[J]. Engineering Journal of Wuhan University, 54, 277-282(2021).

    [23] Chen Y C, Fan Y G, Yu D F et al. Adaptive bilateral filtering point cloud smoothing and IMLS evaluation method considering normal outliers[J]. Journal of Graphics, 44, 131-138(2023).

    [25] Zhang F F, Liang Y B, Wang J. The nearest neighbor search filtering of point cloud data based on noise isolation[J]. Engineering of Surveying and Mapping, 27, 29-33(2018).

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    Changlong Guo, Zhenping Xia, Chaochao Li, Hao Chen, Yuanshen Zhang. Point Cloud Denoising Algorithm Combined with Improved Radius Filtering and Local Plane Fitting[J]. Laser & Optoelectronics Progress, 2024, 61(12): 1215003

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    Paper Information

    Category: Machine Vision

    Received: Jun. 25, 2023

    Accepted: Aug. 30, 2023

    Published Online: Jun. 5, 2024

    The Author Email: Zhenping Xia (xzp@usts.edu.cn)

    DOI:10.3788/LOP231597

    CSTR:32186.14.LOP231597

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