A semi-automatic system for edge tracking with snakes |
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Authors: | Michael Hoch Peter C. Litwinowicz |
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Affiliation: | (1) Department of Computer Science/Audio-Visual Media, Academy of Media Arts, Peter-Welter-Platz 2, 50676 Cologne, Germany;(2) Apple Computer, Inc., 1 Infinite Loop, MS 301-3J, 95014 Cupertino, California, USA |
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Abstract: | Active contour models, or snakes, developed in (Kass et al. 1988), use a simple physical model to track edges in image sequences. Snakes as originally defined however, tend to shrink, stretch and slide back and forth in unwanted ways along a tracked edge and are also confused by multiple edges, always grabbing the nearest one. In this paper a semi-automatic system is presented that combines motion estimation techniques with snakes to overcome these problems. An algorithm is presented that uses a block matching technique to guide the endpoints of the snake, optical flow to push the snake in the direction of the underlying motion, followed by the traditional snake edge-fitting minimization process. We use this technique for tracking facial features of an actor for driving computer animated characters. |
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Keywords: | Pattern recognition Edge tracking Active contour models Facial animation |
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