Laser Journal, Volume. 46, Issue 2, 225(2025)

3D point cloud semantic segmentation combining weighted K-Nearest neighbors algorithm with convolutional block attention

XIAO Jian, WANG Xiaohong*, ZHOU Runmin, LI Wei, YANG Yifei, and LUO Ji
Author Affiliations
  • School of Mining, Guizhou University, Guiyang 550000, China
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    References(11)

    [1] [1] Su H, Ma J S, Kalogerakis E, et al. Multi-view conv-olutional neural networks for 3d shape recognition[C]//-Proceedings of the IEEE International Conference on Computer Vision. 2015: 945-953.

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    [3] [3] Qi C R, Su H, Mo K, et al. PointNet: Deep learning on point sets for 3d classification and segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017: 652-660.

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    [11] [11] Lin Z H Huang S Y, Wang Y C F. Convolution in th-e cloud: Learning deformable kernels in 3d graph con-volution networks for point cloud analysis[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020: 1800-1809.

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    XIAO Jian, WANG Xiaohong, ZHOU Runmin, LI Wei, YANG Yifei, LUO Ji. 3D point cloud semantic segmentation combining weighted K-Nearest neighbors algorithm with convolutional block attention[J]. Laser Journal, 2025, 46(2): 225

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    Paper Information

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    Received: Aug. 19, 2024

    Accepted: Jun. 12, 2025

    Published Online: Jun. 12, 2025

    The Author Email: WANG Xiaohong (xhwang@gzu.edu.cn)

    DOI:10.14016/j.cnki.jgzz.2025.02.225

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