Continuous projection for fast L1 reconstruction
Reinhold Preiner, Oliver Mattausch, Murat Arikan, Renato Pajarola, Michael Wimmer
In ACM Transactions on Graphics, 33(4), July 2014.
Abstract: With better and faster acquisition devices comes a demand for fast robust reconstruction algorithms, but no L1-based technique has been fast enough for online use so far. In this paper, we present a novel continuous formulation of the weighted locally optimal projection (WLOP) operator based on a Gaussian mixture describing the input point density. Our method is up to 7 times faster than an optimized GPU implementation of WLOP, and achieves interactive frame rates for moderately sized point clouds. We give a comprehensive quality analysis showing that our continuous operator achieves a generally higher reconstruction quality than its discrete counterpart. Additionally, we show how to apply our continuous formulation to spherical mixtures of normal directions, to also achieve a fast robust normal reconstruction.
Article URL: http://dx.doi.org/10.1145/2601097.2601172
BibTeX format:
@article{Preiner:2014:CPF,
  author = {Reinhold Preiner and Oliver Mattausch and Murat Arikan and Renato Pajarola and Michael Wimmer},
  title = {Continuous projection for fast L1 reconstruction},
  journal = {ACM Transactions on Graphics},
  volume = {33},
  number = {4},
  pages = {47:1--47:13},
  month = jul,
  year = {2014},
}
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