Facial Modeling On High Resolution Geometry And Appearance Data

Finally, synthesis and re-targeting of facial expressions is central to facial animation and often involves significant manual work in order to achieve realistic expressions, due to the difficulty of capturing high quality dynamic expression data. The availability of high quality dynamic expression data opens a number of research directions in face modeling. In this dissertation, we use the motion data generated by our tracking frameworks to synthesize new expressions as expression transfer from a source face to a target face.