Automatic 3D face generation from video with sparse point constraint and dense deformable model

3D face models have been widely applied in various fields (e.g. biometrics, movies, video games). Especially, it is one of the most popular and challenging tasks in computer vision and computer graphics to reconstruct a 3D face model only with single camera without attaching landmarks and projecting laser dots or structured light patterns on a face. For example, Maejima proposed a method, based on generic-model approach, which can quickly reconstruct a 3D face model from 2D single photograph using a deformable face model [Maejima et al. 2008]. However, since it supposes input as a frontal face image, this method cannot express the individual facial parts' geometry such as height of nose and cheek contour accurately.