Automatic Snakes for robust lip boundaries extraction

Active contours or snakes are widely used in object segmentation for their ability to integrate features extraction and pixel candidate linking in a single energy minimizing process. But the sensitivity to parameters values and initialization is also a widely known problem. Performance of snakes can be enhanced by better initialization close to the desired solution. I;We present here a fine mouth region of interest (ROI) extraction using gray level image and corresponding gradient informations, We link this technique with an original snake method. The Automatic Snakes use spatially varying coefficients to remain along its evolution in a mouth-like shape. Our experimentations on a large image base proove its robustness regarding speakers change of the ROI mouth extraction and automatic snakes algorithms. The main application of our algorithms is video-conferencing.