Gradient flows and geometric active contour models

@article{Kichenassamy1995GradientFA,
  title={Gradient flows and geometric active contour models},
  author={Satyanad Kichenassamy and Arun Kumar and Peter J. Olver and Allen R. Tannenbaum and Anthony J. Yezzi},
  journal={Proceedings of IEEE International Conference on Computer Vision},
  year={1995},
  pages={810-815}
}
In this paper, we analyze the geometric active contour models discussed previously from a curve evolution point of view and propose some modifications based on gradient flows relative to certain new feature-based Riemannian metrics. This leads to a novel snake paradigm in which the feature of interest may be considered to lie at the bottom of a potential well. Thus the snake is attracted very naturally and efficiently to the desired feature. Moreover, we consider some 3-D active surface models… 

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