Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach

@article{Potamias2021RevisitingPC,
  title={Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach},
  author={Rolandos Alexandros Potamias and Giorgos Bouritsas and Stefanos Zafeiriou},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.14982}
}
. The recent advances in 3D sensing technology have made possible the capture of point clouds in significantly high resolution. How-ever, increased detail usually comes at the expense of high storage, as well as computational costs in terms of processing and visualization op-erations. Mesh and Point Cloud simplification methods aim to reduce the complexity of 3D models while retaining visual quality and relevant salient features. Traditional simplification techniques usually rely on solving a… 

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