ML Anthology

Modelling Composite Shapes by Gibbs Random Fields

Boris Flach, Dmitrij Schlesinger
CVPR 2011 pp. 2177-2182
doi:10.1109/CVPR.2011.5995726 /cvpr/2011/flach2011cvpr-modelling/

Abstract

We analyse the potential of Gibbs Random Fields for shape prior modelling. We show that the expressive power of second order GRFs is already sufficient to express spatial relations between shape parts and simple shapes simultaneously. This allows to model and recognise complex shapes as spatial compositions of simpler parts.

PDF CVPR Semantic Scholar

Cite

Text

Flach and Schlesinger. "Modelling Composite Shapes by Gibbs Random Fields." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011. doi:10.1109/CVPR.2011.5995726

Markdown

[Flach and Schlesinger. "Modelling Composite Shapes by Gibbs Random Fields." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011.](https://mlanthology.org/cvpr/2011/flach2011cvpr-modelling/) doi:10.1109/CVPR.2011.5995726

BibTeX

@inproceedings{flach2011cvpr-modelling,
  title     = {{Modelling Composite Shapes by Gibbs Random Fields}},
  author    = {Flach, Boris and Schlesinger, Dmitrij},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2011},
  pages     = {2177-2182},
  doi       = {10.1109/CVPR.2011.5995726},
  url       = {https://mlanthology.org/cvpr/2011/flach2011cvpr-modelling/}
}