Abstract
In this paper, we analyze the geometric active contour models discussed in [6, 18] 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.
| Original language | English (US) |
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| Title of host publication | IEEE International Conference on Computer Vision |
| Editors | Anon |
| Publisher | IEEE |
| Pages | 810-815 |
| Number of pages | 6 |
| State | Published - Jan 1 1995 |
| Event | Proceedings of the 5th International Conference on Computer Vision - Cambridge, MA, USA Duration: Jun 20 1995 → Jun 23 1995 |
Other
| Other | Proceedings of the 5th International Conference on Computer Vision |
|---|---|
| City | Cambridge, MA, USA |
| Period | 6/20/95 → 6/23/95 |