Gradient flows and geometric active contour models

Authors:
S. Kichenassamy;A. Kumar;P. Olver;A. Tannenbaum;A. Yezzi
Affiliations:
-;-;-;-;-
Venue:
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Year:
1995

Citing 0
Cited 139

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Abstract

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.