Image Segmentation Using Active Contours: Calculus of Variations or Shape Gradients?

By Gilles Aubert, Michel Barlaud, Olivier D. Faugeras, Stéphanie Jehan-Besson. SIAM Journal on Applied Mathematics, 2003

302 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/7113931ffebf74ac3cb8b79e98bc09fa6121751e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Daniel Cremers
2. Thomas Brox
3. Luc Van Gool
4. Jitendra Malik
5. Ming-Hsuan Yang
6. Dacheng Tao
7. Lei Zhang
8. Cordelia Schmid

Citations in the corpus

• A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape (2007, methodology): “As pointed out by several authors (Sokolowski and Zolesio, 1991; Schnoerr, 1992; Aubert et al., 2003), this region-dependence can be taken into account in the computation of accurate shape gradients.”
• Active unsupervised texture segmentation on a diffusion based feature space (2003, methodology): “(11) The shape derivative tool introduced in [3] drives to:”