Robust Smoothing of Noisy Point Clouds

@inproceedings{Mederos2003RobustSO,
  title={Robust Smoothing of Noisy Point Clouds},
  author={Boris Mederos and Luiz Velho and Luiz Henrique de Figueiredo},
  year={2003}
}
This paper addresses the problem of removing the noise from noisy points clouds in the context of surface reconstruction. We introduce a new smoothing operator Q inspired by the moving least-squares method and robust statistics theory. Our method can be seen as an improvement of the moving least-squares method to preserve sharp features. We also present effective numerical optimization algorithms to compute Q and some theoretical results on their convergence. § 
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Mesh independent surface interpolation

  • D. Levin
  • Hamann and Mueller, Springer-Verlag,
  • 2003
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