Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1610011(2022)

Point-Cloud Semantic Segmentation Network Considering Normals

Pengfei Shang1,2, Yi Chen1,2、*, Weijia Lv1,2, Fang Zheng1,2, and Jielong Wang1,2
Author Affiliations
  • 1College of Surveying and Geo-Informatics, Tongji Univesity, Shanghai 200092, China
  • 2Key Laboratory of Modern Engineering Surveying of National Administration of Surveying, Mapping and Geoinformation, Shanghai 200092, China
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    Figures & Tables(12)
    Framework of PointNet (vanilla)
    Framework of PPCAN (modified from Ref. [7])
    Comparison of accuracy in training epoch
    Semantic segmentation results of column. (a) PointNet; (b) PPCAN; (c) ground truth
    Semantic segmentation results of sofa. (a) PointNet; (b) PPCAN; (c) ground truth
    Increment of IoU and accuracy of PPACAN compared with PointNet
    Semantic segmentation results of board. (a) PointNet; (b) PPCAN; (c) ground truth
    Results of 8 times predication on both PointNet and PPCAN. (a) PointNet; (b) PPCAN
    Error characteristics of IoU with PPCAN. (a) Range; (b) standard deviation
    • Table 1. Results of semantic segmentation on S3DIS

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      Table 1. Results of semantic segmentation on S3DIS

      ModelOAMAmIoU
      PointNet82.967.457.1
      PPCAN85.274.561.0
    • Table 2. Comparison of accuracy among 13 classes

      View table

      Table 2. Comparison of accuracy among 13 classes

      ModelCeilingFloorWallBeamColumnWindowDoorTableChairSofaBookcaseBoardClutter
      PointNet96.198.589.255.823.565.890.676.666.420.164.165.364.1
      PPCAN97.897.787.371.165.786.383.679.467.465.770.227.470.0
    • Table 3. Comparison of IoU among 13 classes

      View table

      Table 3. Comparison of IoU among 13 classes

      ModelCeilingFloorWallBeamColumnWindowDoorTableChairSofaBookcaseBoardClutter
      PointNet91.696.069.147.522.461.270.064.055.910.348.955.350.7
      PPCAN93.997.073.762.847.457.369.567.558.230.153.226.655.3
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    Pengfei Shang, Yi Chen, Weijia Lv, Fang Zheng, Jielong Wang. Point-Cloud Semantic Segmentation Network Considering Normals[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1610011

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    Paper Information

    Category: Image Processing

    Received: May. 18, 2021

    Accepted: Jul. 20, 2021

    Published Online: Jul. 22, 2022

    The Author Email: Yi Chen (chenyi@tongji.edu.cn)

    DOI:10.3788/LOP202259.1610011

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