Laser & Optoelectronics Progress, Volume. 60, Issue 2, 0210012(2023)

Point Cloud Completion Network Based on Multiencoders and Residual-Transformer

Hui Gao, Zhijing Yang*, Wing-Kuen Ling, Jiangzhong Cao, and Weijie Li
Author Affiliations
  • School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, Guangdong, China
  • show less
    Figures & Tables(8)
    Point cloud completion network based on multi-encoders and Residual-Transformer
    Structure of PRN
    Entire completion process of the proposed model. (a) Original point cloud; (b) predicted missing part; (c) complete point cloud after merging Fig.3 (a) and Fig.3 (b); (d) point cloud after sampling; (e) complete point cloud after enhancement; (f) ground truth
    Comparison of completion visualization effects of different methods on Shapenet-Part dataset
    Comparison of completion visualization effects of ablation study on Shapenet-Part dataset
    • Table 1. PredGT/PredGT of different methods, results are magnified by 10000

      View table

      Table 1. PredGT/PredGT of different methods, results are magnified by 10000

      CategoryMSN14PF-Net1FCAE26RP-MLP26Proposed method
      Average8.395/5.70411.131/4.28920.121/15.9327.514/3.3965.035/3.294
      Airplane3.113/3.5004.604/2.9976.980/7.0472.892/2.2122.164/2.641
      Bag15.393/7.94221.350/7.18434.774/29.04514.232/5.7487.127/3.340
      Cap16.824/5.84228.984/3.71952.914/37.09417.016/2.5276.950/3.065
      Car8.443/6.9919.643/3.20619.982/15.5508.683/2.5166.103/2.592
      Chair5.934/4.4347.803/2.77416.408/13.7336.049/2.0514.107/2.050
      Guitar5.226/3.3653.195/3.0683.276/3.1851.822/2.3811.693/2.168
      Lamp19.873/9.81924.143/10.55939.082/21.31915.675/9.38914.506/10.085
      Laptop3.543/3.9104.879/2.2629.252/9.6232.832/1.4302.110/1.195
      Motorbike6.802/7.1786.473/5.02814.094/11.5926.197/4.1625.188/3.701
      Mug8.199/6.34010.538/3.77425.223/22.1197.464/3.0545.481/3.316
      Pistol5.092/6.3497.613/4.94410.898/10.1155.399/3.9523.350/4.051
      Skateboard3.441/3.7665.562/2.7888.981/8.9962.693/1.9941.812/2.101
      Table7.257/4.7099.919/3.45419.712/17.6996.722/2.7374.865/2.513
    • Table 2. PredGT/PredGT comparison of ablation study, results are magnified by 10000

      View table

      Table 2. PredGT/PredGT comparison of ablation study, results are magnified by 10000

      MethodAirplaneBagCapCarChairGuitarLamp
      Proposed method

      2.164/

      2.461

      7.127/

      3.340

      6.950/

      3.065

      6.103/

      2.592

      4.107/

      2.050

      1.693/

      2.168

      14.506/

      10.085

      Proposed method without RT

      3.208/

      3.356

      9.793/

      6.232

      11.605/

      4.262

      8.464/

      3.730

      6.407/

      3.413

      1.853/

      3.214

      18.528/

      12.221

      MethodLaptopMotorbikeMugPistolSkateboardTableAverage
      Proposed method

      2.110/

      1.195

      5.188/

      3.701

      5.481/

      3.316

      3.350/

      4.051

      1.812/

      2.101

      4.865/

      2.513

      5.035/

      3.294

      Proposed method without RT

      2.975/

      2.013

      5.748/

      5.525

      7.922/

      4.639

      5.621/

      6.031

      7.391/

      4.809

      6.560/

      4.103

      7.390/

      4.888

    • Table 3. PredGT/PredGT comparison of ablation study, results are magnified by 10000

      View table

      Table 3. PredGT/PredGT comparison of ablation study, results are magnified by 10000

      MethodAirplaneBagCapCarChairGuitarLamp
      Proposed method

      2.164/

      2.461

      7.127/

      3.340

      6.950/

      3.065

      6.103/

      2.592

      4.107/

      2.050

      1.693/

      2.168

      14.506/

      10.085

      Proposed method w/o Lo

      5.055/

      7.812

      18.436/

      4.450

      9.441/

      2.961

      7.561/

      3.938

      12.959/

      4.838

      4.534/

      3.363

      15.442/

      14.081

      MethodLaptopMotorbikeMugPistolSkateboardTableAverage
      Proposed method

      2.110/

      1.195

      5.188/

      3.701

      5.481/

      3.316

      3.350/

      4.051

      1.812/

      2.101

      4.865/

      2.513

      5.035/

      3.294

      Proposed method w/o Lo

      3.198/

      4.156

      3.229/

      6.181

      10.524/

      4.145

      4.440/

      10.144

      5.669/

      6.232

      7.862/

      4.432

      8.335/

      5.903

    Tools

    Get Citation

    Copy Citation Text

    Hui Gao, Zhijing Yang, Wing-Kuen Ling, Jiangzhong Cao, Weijie Li. Point Cloud Completion Network Based on Multiencoders and Residual-Transformer[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0210012

    Download Citation

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

    Category: Image Processing

    Received: Dec. 22, 2021

    Accepted: Mar. 14, 2022

    Published Online: Jan. 6, 2023

    The Author Email: Zhijing Yang (yzhj@gdut.edu.cn)

    DOI:10.3788/LOP213314

    Topics