Laser & Optoelectronics Progress, Volume. 56, Issue 21, 211004(2019)

Deep Learning Model for Point Cloud Classification Based on Graph Convolutional Network

Xujiao Wang, Jie Ma*, Nannan Wang, Pengfei Ma, and Lichaung Yang
Author Affiliations
  • School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China
  • show less
    Figures & Tables(7)
    Framework of GCN model
    Design of point cloud classification network based on GCN
    Schematic of graph convolution in kNN graph layer
    Sampling results of partial shapes on ModelNet40
    • Table 1. Parameter settings

      View table

      Table 1. Parameter settings

      OptimizerLearningrateBatchsizeMomentumWeightdecay
      ADAM0.001640.91×10-5
    • Table 2. Comparisons of classification accuracy on ModelNet40 and computational complexity of several models

      View table

      Table 2. Comparisons of classification accuracy on ModelNet40 and computational complexity of several models

      ModelMean classaccuracy /%Overallaccuracy /%Forwardtime /ms
      3D ShapeNets[11]77.384.7
      VoxNet[12]8385.9
      PointNet8689.225.3
      ointNet++[13]90.7163.2
      Kd-network[14]86.3
      Ours91.693.229.4
    • Table 3. Comparison of classification accuracy under different k values

      View table

      Table 3. Comparison of classification accuracy under different k values

      kMean classaccuracy /%Overallaccuracy /%
      587.689.2
      1088.090.4
      1590.192.6
      2091.693.2
      2591.292.9
      3090.892.5
      3589.991.8
      4089.791.6
    Tools

    Get Citation

    Copy Citation Text

    Xujiao Wang, Jie Ma, Nannan Wang, Pengfei Ma, Lichaung Yang. Deep Learning Model for Point Cloud Classification Based on Graph Convolutional Network[J]. Laser & Optoelectronics Progress, 2019, 56(21): 211004

    Download Citation

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

    Category: Image Processing

    Received: Apr. 1, 2019

    Accepted: Apr. 30, 2019

    Published Online: Nov. 2, 2019

    The Author Email: Jie Ma (13163152009@163.com)

    DOI:10.3788/LOP56.211004

    Topics