Chinese Optics, Volume. 15, Issue 2, 210(2022)

Overview of 3D point cloud super-resolution technology

Yong BI1, Ming-qi PAN1,2, Shuo ZHANG1, and Wei-nan GAO1、*
Author Affiliations
  • 1Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
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    Figures & Tables(5)
    The architecture of PU-Net[39]
    Up-sampling model of MPU[42]
    The architecture of PU-GAN[44]
    The architecture of PU-GCN[47]
    • Table 1. RMSE comparison

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      Table 1. RMSE comparison

      局部/全局数据集与倍数ArtMoebiusBooks
      基于局部信息边缘特征引导的JBUF[26]1.081.93
      基于局部信息改进的双边滤波器[27]1.932.451.632.061.471.81
      基于局部信息具有噪声感知的双边滤波[28]2.904.751.552.281.361.94
      基于局部信息基于引导图像的滤波器[29]2.403.322.032.601.822.31
      基于全局优化二阶TGV[30]1.292.060.901.380.751.16
      基于全局优化二阶TGV+边缘指示函数[31]1.211.930.811.320.651.07
      基于全局优化MRF[33]2.243.852.293.092.082.85
      基于全局优化改进的MRF[34]1.001.50
      基于全局优化改进的MRF[35]1.822.781.492.131.431.98
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    Yong BI, Ming-qi PAN, Shuo ZHANG, Wei-nan GAO. Overview of 3D point cloud super-resolution technology[J]. Chinese Optics, 2022, 15(2): 210

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    Paper Information

    Category: Review

    Received: Oct. 8, 2021

    Accepted: Dec. 20, 2021

    Published Online: Mar. 28, 2022

    The Author Email:

    DOI:10.37188/CO.2021-0176

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