Generation of person-specific 3D model based on single photograph

At present, a person-specific 3D model generation technology has been an active research topic for scientists in the field of computer vision and computer graphics. The paper proposes a 3D modeling method based on single photograph, by analysis of individual difference like geometric features which present the shape and locations of facial components. An extension of the basic Active Appearance Model is proposed to localize some facial feature points in the frontal image and all these feature points are aligned to fit the generic 3D face model to a specialized one to reflect the given person's face, being both more robust and faster. Then an optimized texture mapping of cylindrical projection and model adjustment technologies are presented, to synthesize personal virtual face realistically. This method rectifies these previous defects, such as the difficulty in gaining access to acquiring the accurate data of a 3D face model, slowly manual location methods, incomplete facial information mining. The approach gives a significant improvement in both the reliability and the overall accuracy of 3D modeling.