Feature Extraction For Facial Modeling

Human facial features extraction has become one of the important issues in lots of significant applications, such as face recognition, facial expression analysis and synthesis, face morphing and virtual 3D face synthesis. To extract the exact features of human face is quiet a hard nun to break, mainly for the complicated structure of thce, as well as thc unknown light condition, and it would become more difficult for the face with lager vertical rotation.Here a gradual feature extraction method has been proposed to extract the exact features of eyes and mouth, in which there are two new techniques. namely pose estimation based on hair templates and 3D deformable template matching.A new pose estimation strategy based on seven hair templates has been presented to estimate the orientation of face. The face orientation can be obtained directly from the face image using the new pose estimation, which is different from the traditional method according to the relations between feature points or the reconstructed 3D face model.A new 3D deforrnable template matching technique is also presented here to extract the exact features of eyes and mouth. When the 3D deformable template is applied to match the face image, it should be mapped into 2D template and the energy functions of 2D eye template and 2D mouth template should also be defined respectively. At last the Greedy Algorithm should be employed to minimize the value of energy functions, and the facial features could then be obtained.