Abstract
Nowadays, there are extensive and convenient applications of 3D Face Model. But the 3D face scanners are expensive and not general instruments, and it makes face reconstruction by 2D information an important research topic. There has existed technique for reconstructing 3D face model by single 2D image. According to the 2D image, the 3D model is reconstructed based on the statistics of a set of 3D faces. But the result is constrained by the 3D face set, and therefore may not be suitable for all people. As more and more development of range cameras, the measurement of depth information is feasible. But Laser range cameras with high resolution are still expensive and not general. Therefore we use the general low resolution range camera to measure the depth of faces, and solve the problems of low resolution and noise. We extract the rough characteristics of depth for the refinement of the model reconstructed by 2D image. The experimental result shows that if the rough characteristics of the target face is similar to the statistics, (ex. the white people have similar characteristics of face), then the 3D model can be reconstructed precisely by the 2D image. If the rough characteristics of the target face is not similar to the statistics, we can still build the general geometry of the face, and then refine the model by the depth information extracted by range camera, and make the result much closer to the true shape of the target face.