APPLIED LASER, Volume. 44, Issue 12, 148(2024)

Smooth Denoising Method for Multi-Scale Point Cloud Noise

Zheng Tianyang and Ma Bin*
Author Affiliations
  • School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China
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    References(7)

    [3] [3] FLEISHMAN S, DRORI I, COHEN-OR D. Bilateral mesh denoising[J]. ACM Transactions on Graphics, 2003, 22(3): 950-953.

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    [5] [5] LIPMAN Y, COHEN-OR D, LEVIN D, et al. Parameterization-free projection for geometry reconstruction[J]. ACM Transactions on Graphics, 2007, 26(99): 22.

    [6] [6] ZHOU S T, LIU X L, WANG C Y, et al. Non-iterative denoising algorithm based on a dual threshold for a 3D point cloud[J]. Optics and Lasers in Engineering, 2020, 126: 105921.

    [7] [7] ZHOU Y Y, CHEN R, ZHAO Y Q, et al. Point cloud denoising using non-local collaborative projections[J]. Pattern Recognition, 2021, 120: 108128.

    [11] [11] PRAKHYA S M, LIU B B, LIN W S. Detecting keypoint sets on 3D point clouds via Histogram of Normal Orientations[J]. Pattern Recognition Letters, 2016, 83: 42-48.

    [14] [14] HAN X F, JIN J S, WANG M J, et al. Guided 3D point cloud filtering[J]. Multimedia Tools and Applications, 2018, 77(13): 17397-17411.

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    Zheng Tianyang, Ma Bin. Smooth Denoising Method for Multi-Scale Point Cloud Noise[J]. APPLIED LASER, 2024, 44(12): 148

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    Paper Information

    Received: Mar. 24, 2023

    Accepted: Mar. 11, 2025

    Published Online: Mar. 11, 2025

    The Author Email: Bin Ma (mab@mail.lzjtu.cn)

    DOI:10.14128/j.cnki.al.20244412.148

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