Abstract
A new lip contour extraction algorithm that combines the merits of the point-based lip model and the parametric lip model is presented in this paper. A 16-point lip model is used to describe the lip contour. With the aid of the FCMS (fuzzy clustering method incorporating shape function), a robust probability map is generated and a region-based cost function can be established. An iterative optimization procedure has been developed to fit the lip model to the probability map. In each iteration, the adjustment of the 16 lip points is governed by three pieces of quadratic curves which constrain the points to form a physical lip shape. Experimental results show that the proposed approach provides satisfactory results for 5,000 lip images of over 20 individuals. A real-time lip contour extraction system has also been implemented.
| Original language | English |
|---|---|
| Pages (from-to) | 217-220 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 3 |
| DOIs | |
| Publication status | Published - 2003 |
| Event | 2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong, China Duration: 6 Apr 2003 → 10 Apr 2003 |
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