| Paper: | MA-P7.9 |
| Session: | Motion Detection and Estimation I |
| Time: | Monday, September 17, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
LOCAL OR GLOBAL 3D FACE AND FACIAL FEATURE TRACKER. |
| Authors: |
José Alonso Ybañez Zepeda; E.N.S.T. | | |
| | Franck Davoine; U.T.C. | | |
| | Maurice Charbit; E.N.S.T. | | |
| Abstract: |
We present in this paper a solution for 3D face and facial feature tracking using canonical correlation analysis and a 3D geometric model. This model is controlled via 17 parameters (6 for the 3D pose, and 11 for the facial animation), and is used to crop out stabilized 2D shape free texture maps from the incoming input frames. Model parameters are updated via image registration in the texture map space. For registration, we use CCA to learn and exploit the dependency between difference images and the parameter displacements. We compare tracking results using two kinds of different texture maps: one local (images patches around selected vertices of the 3D model), and one global (the whole image patch under the 3D model). Experiments evaluating the effectiveness on the approaches are reported. |
