• Laser & Optoelectronics Progress
  • Vol. 57, Issue 18, 181019 (2020)
Xiangdan Hou, Xixin Yu, and Hongpu Liu*
Author Affiliations
  • School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China
  • show less
    DOI: 10.3788/LOP57.181019 Cite this Article Set citation alerts
    Xiangdan Hou, Xixin Yu, Hongpu Liu. 3D Point Cloud Classification and Segmentation Model Based on Graph Convolutional Network[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181019 Copy Citation Text show less
    GraphPNet model
    Fig. 1. GraphPNet model
    Neighborhood information of the target node Pi at K=2 aggregated by GraphLayer
    Fig. 2. Neighborhood information of the target node Pi at K=2 aggregated by GraphLayer
    Part point cloud file visualization
    Fig. 3. Part point cloud file visualization
    ModelMean classaccuracy /%Overallaccuracy /%
    3DShapeNets[5]VoxNet[6]PointNet[8]GraphPNet77.083.083.785.384.785.987.689.6
    Table 1. Classification experimental accuracy
    kMean class accuracy /%Overall accuracy /%
    2530354045505585.084.985.185.385.984.584.989.588.688.989.688.788.688.9
    Table 2. Accuracy at different values k
    KMean class accuracy /%Overall accuracy /%
    12345682.684.383.484.685.385.787.088.988.088.889.689.3
    Table 3. Accuracy at different orders K
    CategoryNumber of modelsPartmIoU /%
    Model in Ref. [17]SyncSpecCNN[18]PointNet[8]GraphPNet
    Airplane
    Bag
    Cap
    Car
    Chair
    Earphone
    Guitar
    Knife
    Lamp
    Laptop
    Motorbike
    Mug
    Pistol
    Rocket
    Skateboard
    Table
    2690
    76
    55
    898
    3758
    69
    787
    392
    1547
    451
    202
    184
    283
    66
    152
    5271
    4
    2
    2
    4
    4
    3
    3
    2
    4
    2
    6
    2
    3
    3
    3
    3
    81.0
    78.4
    77.7
    75.7
    87.6
    61.9
    92.0
    85.4
    82.5
    95.7
    70.6
    91.9
    85.9
    53.1
    69.8
    75.3
    81.6
    81.7
    81.9
    75.2
    90.2
    74.9
    93.0
    86.0
    84.7
    95.6
    66.7
    92.7
    81.6
    60.6
    82.9
    82.1
    83.4
    78.7
    82.5
    74.9
    89.6
    73.0
    91.5
    85.9
    80.8
    95.3
    65.2
    93.0
    81.2
    57.9
    72.8
    80.6
    79.8
    71.2
    83.5
    72.4
    90.2
    69.4
    92.5
    81.1
    81.2
    96.7
    64.4
    93.3
    87.9
    55.6
    74.7
    84.6
    Table 4. mIoU values of segmentation on ShapeNet
    Xiangdan Hou, Xixin Yu, Hongpu Liu. 3D Point Cloud Classification and Segmentation Model Based on Graph Convolutional Network[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181019
    Download Citation