3D Facial model construction and expressions synthesis from a single frontal face image

In this paper we present a system which automatically generates 3D face model from a single frontal image of a face with the help of generic 3D model. Our system consists of three components. The first component detects the features like eyes, mouth, eyebrow and contour of face. After detecting features the second component automatically adapts the generic 3d model into face specific 3D model using geometric transformations. Once the model is ready six basic facial expressions are generated with the help of MPEG-4 facial animation parameters (FAPS). To generate transitions between these facial expressions we use 3D shape morphing between the corresponding face models and blending the corresponding textures. Our system has the advantage that it is fully automatic, robust and fast. It can be used in a variety of applications for which the accuracy of depths are not critical such as games, avatars, face recognition etc. Our morphing results show the accuracy of system. We have tested and evaluated using database BU-3DFE.