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  • 3D Object Detection using point cloud

    20191022

    • problem settings

      • RGB-D data (noisy but with RGB info)
      • Point cloud data (cleaner but no RGB)
    • voxelization

      • how to reduce computation cost?
    • PointNet

      • matrix multiplication alignment useful? can be left out?
        • depends on dataset? easy or hard
        • input alignment vs. feature alignment
      • how to compute Critical Point Set/upper bound set? how to visualize?
    • PointNet++

      • how to set radius in MSG?
        • hyperparameter(data dependent) or adaptive
      • non-rigid object in non-Euclidean space(interesting)
        • math tools
          • non-Euclidean geometry
          • differential geometry - Gaussian curvature
    • PointRCNN

      • solid work
      • generate 3D proposal for each foreground point? anchor free
    • VoteNet

      • deformable convolution
      • operates on points - utilize all info from points
      • think backwards
        • bbox → centroid → surface points
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  • 原文地址:https://www.cnblogs.com/cbw052/p/11721203.html
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