Self-Supervised Point Set Local Descriptors for Point Cloud Registration

@article{Yuan2021SelfSupervisedPS,
  title={Self-Supervised Point Set Local Descriptors for Point Cloud Registration},
  author={Yijun Yuan and Jiawei Hou and A. N{\"u}chter and S. Schwertfeger},
  journal={Sensors (Basel, Switzerland)},
  year={2021},
  volume={21}
}
  • Yijun Yuan, Jiawei Hou, +1 author S. Schwertfeger
  • Published 2021
  • Computer Science, Medicine
  • Sensors (Basel, Switzerland)
  • Descriptors play an important role in point cloud registration. The current state-of-the-art resorts to the high regression capability of deep learning. However, recent deep learning-based descriptors require different levels of annotation and selection of patches, which make the model hard to migrate to new scenarios. In this work, we learn local registration descriptors for point clouds in a self-supervised manner. In each iteration of the training, the input of the network is merely one… CONTINUE READING
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