Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering

@article{Chen2019DeepUL,
  title={Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering},
  author={Siheng Chen and Chaojing Duan and Yaoqing Yang and Duanshun Li and Chen Feng and Dong Tian},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.04571}
}
We propose a deep autoencoder with graph topology inference and filtering to achieve compact representations of unorganized 3D point clouds in an unsupervised manner. Many previous works discretize 3D points to voxels and then use latticebased methods to process and learn 3D spatial information; however, this leads to inevitable discretization errors. In this work, we try to handle raw 3D points without such compromise. The encoder of the proposed networks adopts similar architectures as in… CONTINUE READING
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