ML Anthology

Parameterfree Information-Preserving Surface Restoration

Uwe Weidner
ECCV 1994 pp. 218-224
doi:10.1007/BFB0028355 /eccv/1994/weidner1994eccv-parameterfree/

Abstract

In this paper we present an algorithm for parameterfree information-preserving surface restoration. The algorithm is designed for 2.5D and 3D surfaces. The basic idea is to extract noise and signal properties of the data simultaneously by variance-component estimation and use this information for filtering. The variance-component estimation delivers information on how to weigh the influence of the data dependent term and the stabilizing term in regularization techniques, and therefore no parameter which controls this relation has to be set by the user.

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Cite

Text

Weidner. "Parameterfree Information-Preserving Surface Restoration." European Conference on Computer Vision, 1994. doi:10.1007/BFB0028355

Markdown

[Weidner. "Parameterfree Information-Preserving Surface Restoration." European Conference on Computer Vision, 1994.](https://mlanthology.org/eccv/1994/weidner1994eccv-parameterfree/) doi:10.1007/BFB0028355

BibTeX

@inproceedings{weidner1994eccv-parameterfree,
  title     = {{Parameterfree Information-Preserving Surface Restoration}},
  author    = {Weidner, Uwe},
  booktitle = {European Conference on Computer Vision},
  year      = {1994},
  pages     = {218-224},
  doi       = {10.1007/BFB0028355},
  url       = {https://mlanthology.org/eccv/1994/weidner1994eccv-parameterfree/}
}