Shape Priors in Variational Image Segmentation: Convexity, Lipschitz Continuity and Globally Optimal Solutions

Cite

Text

Cremers et al. "Shape Priors in Variational Image Segmentation: Convexity, Lipschitz Continuity and Globally Optimal Solutions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008. doi:10.1109/CVPR.2008.4587446

Markdown

[Cremers et al. "Shape Priors in Variational Image Segmentation: Convexity, Lipschitz Continuity and Globally Optimal Solutions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008.](https://mlanthology.org/cvpr/2008/cremers2008cvpr-shape/) doi:10.1109/CVPR.2008.4587446

BibTeX

@inproceedings{cremers2008cvpr-shape,
  title     = {{Shape Priors in Variational Image Segmentation: Convexity, Lipschitz Continuity and Globally Optimal Solutions}},
  author    = {Cremers, Daniel and Schmidt, Frank R. and Barthel, Frank},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2008},
  doi       = {10.1109/CVPR.2008.4587446},
  url       = {https://mlanthology.org/cvpr/2008/cremers2008cvpr-shape/}
}