Gradient flows and geometric active contour models
Kichenassamy, S.; Kumar, A.; Olver, P.; Tannenbaum, A.; Yezzi, A.
Computer Vision, 1995. Proceedings., Fifth International Conference on
Volume , Issue , 20-23 Jun 1995 Page(s):810 - 815
Digital Object Identifier   10.1109/ICCV.1995.466855
Summary: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 based on these ideas

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