Rapid 3D face modeling from video

Abstract

In this paper, an efficient technique is developed to construct textured 3D face model from video containing a face rotating from frontal to profile. After two manual clicks on a profile to tell the system where the eye corner and bottom of the chin are, the system automatically generates a realistic looking 3D face model. The proposed method consists of three components. Firstly, based on the facial feature points extracted from frontal and profile images, an individual 3D geometric face model is generated by deforming the generic model with improved Radial basis function. Then the model is refined by using improved √3-Subdivision. Secondly, the multi-resolution technique and weighted smoothing algorithm are combined to synthesize individual facial texture image. Finally, a realistic 3D face model is built by mapping the individual texture to the individual 3D geometric model. The accuracy and robustness of the method are demonstrated with a set of experiments.