Optics and Precision Engineering, Volume. 32, Issue 12, 1941(2024)

Part segmentation method of point cloud considering optimal allocation and optimal mask

Xijiang CHEN1...2,3, Xi SUN2,*, Bufan ZHAO2, Qing AN1 and Xianquan HAN4 |Show fewer author(s)
Author Affiliations
  • 1School of Artificial Intelligence, Wuchang University of Technology, Wuhan430223,China
  • 2School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan430070,China
  • 3Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang001,China
  • 4Changjiang River Scientific Research Institute of Changjiang Water Resources Commission, Wuhan30019,China
  • show less
    Figures & Tables(19)
    Flow chart of the method in this article
    Schematic diagram of the optimal transport
    Schematic diagram of the method presented in this paper
    Significance visualization plot, the significance points are marked in red
    Knn and ball query visualization compare Fig
    Distribution map of the sampling number of each class in the ShapeNet data set
    Airplane visualization
    Table visualization
    Cap visualization
    Earphone visualization
    Knife visualization
    Computer visualization
    Pistol visualization
    Airplane visualization
    Proportion of enhanced samples
    • Table 1. Part segmentation results on the ShapeNet dataset

      View table
      View in Article

      Table 1. Part segmentation results on the ShapeNet dataset

      方法mIoUAir-planeBagCapCarChairEar-phoneGuitarKnifeLampLaptopMotor-bikeMugPistolRocketSkate-boardTable
      #shapes/269076558983758697873921547451202184283661525271
      PointNet83.783.478.782.574.989.673.091.585.980.895.365.293.081.257.972.880.6
      PointNet+Ours85.183.882.984.275.590.270.891.586.382.395.266.193.981.063.171.181.2
      PointNet++85.182.479.087.777.390.871.891.085.983.795.371.694.181.358.776.482.6
      PointNet+++Ours86.382.683.288.577.991.472.591.086.384.295.372.494.781.164.874.783.2
      DGCNN85.184.283.784.477.190.978.591.587.382.996.067.893.382.659.775.582.0
      DGCNN+Ours86.084.684.185.677.891.379.091.387.783.495.768.593.582.164.573.282.8
    • Table 2. Comparison of the different mixing methods

      View table
      View in Article

      Table 2. Comparison of the different mixing methods

      混合方式mIoU/%
      PointCutMix85.5
      xαxβ82.3
      xαxβ85.0
      xαxβ85.2
      xαxβ86.1
    • Table 3. Results of the ablation experiments

      View table
      View in Article

      Table 3. Results of the ablation experiments

      基准点的显著性掩码最佳掩码mIoU/%
      85.1
      85.5
      85.2
      85.4
      85.7
      86.3
    • Table 4. Results combined with traditional methods

      View table
      View in Article

      Table 4. Results combined with traditional methods

      抖动旋转随机丢弃点本文方法mIoU/%
      86.3(a)
      85.3(b)
      85.7
      85.3(b)
      86.6
      85.4(b)
      85.9
      85.9
    Tools

    Get Citation

    Copy Citation Text

    Xijiang CHEN, Xi SUN, Bufan ZHAO, Qing AN, Xianquan HAN. Part segmentation method of point cloud considering optimal allocation and optimal mask[J]. Optics and Precision Engineering, 2024, 32(12): 1941

    Download Citation

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

    Category:

    Received: Nov. 28, 2023

    Accepted: --

    Published Online: Aug. 28, 2024

    The Author Email: SUN Xi (3022669424@qq.com)

    DOI:10.37188/OPE.20243212.1941

    Topics