3D Face Model Reconstruction For Face Recognition

Face recognition is one of the most popular research fields at present, and also is widely applied in many areas, such as information security, video surveillance and video tracking. Recently, most researches concerning face recognition are based on 2D face images, but because of the influence of illumination, pose and expression variation, the improvement of recognition rate of 2D face recognition is greatly impeded. This makes it still difficult to build a robust face recognition system up to the present day. 3D face model possesses more rich information than 2D face images. Therefore, implementing face recognition on 3D face model is one of the effective approaches to tackle the present problems. The key part of 3D face recognition is building the corresponding model with the acquisition of the shape model and accurate texture mapping as the core issues. This problem is still not resolved ideally in face reconstruction area now.In this thesis, we study the image-based and model-based human face reconstruction methods, create a new method for reconstruction, and discuss about the applications of the model in several hot fields. Several specific research points are showed as follows.1) Local and global feature extraction based on face detection...