ML Anthology

Geometry-Driven Curve Evolution

Peter Fiddelaers, Eric J. Pauwels, Luc Van Gool
ECCV 1994 pp. 427-432
doi:10.1007/3-540-57956-7_46 /eccv/1994/fiddelaers1994eccv-geometry/

Abstract

In this paper we show how geometry-driven diffusion can be used to develop a system of curve-evolution that is able to preserve salient features of closed curves (such as corners and straight line segments), while simultaneously suppressing noise and irrelevant details. The idea is to characterise the curve by means of its angle function (i.e. the angle between the tangent and a fixed axis) and to apply geometry-driven diffusion to this one-dimensional representation.

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Cite

Text

Fiddelaers et al. "Geometry-Driven Curve Evolution." European Conference on Computer Vision, 1994. doi:10.1007/3-540-57956-7_46

Markdown

[Fiddelaers et al. "Geometry-Driven Curve Evolution." European Conference on Computer Vision, 1994.](https://mlanthology.org/eccv/1994/fiddelaers1994eccv-geometry/) doi:10.1007/3-540-57956-7_46

BibTeX

@inproceedings{fiddelaers1994eccv-geometry,
  title     = {{Geometry-Driven Curve Evolution}},
  author    = {Fiddelaers, Peter and Pauwels, Eric J. and Van Gool, Luc},
  booktitle = {European Conference on Computer Vision},
  year      = {1994},
  pages     = {427-432},
  doi       = {10.1007/3-540-57956-7_46},
  url       = {https://mlanthology.org/eccv/1994/fiddelaers1994eccv-geometry/}
}