Facial animation is one alternative for enabling natural
human computer interaction. Computer facial animation has
applications in many fields, such as realistic virtual humans
with different facial expressions used in the entertainment
industry. In communication applications, interactive talking
faces make the interaction between users and machines
better, and also provide a friendly interface which help
to attract users. Humanlike expression is critical among
the issues concerning the realism of synthesized facial
animation. Computer facial animation still remains a very
challenging topic for the computer graphics community
because of the deformation of a moving face is complex
and humans have an inherent sensitivity to the subtleties of
facial motion. Furthermore, depiction of human emotion is
an extremely difficult interdisciplinary research topic studied
by researchers in computer graphics, artificial intelligence,
communication, psychology and others. In this paper, a
realistic and expressive computer facial animation system is
presented by automated learning from Vicon Nexus facial
motion capture data. Ultimately, the emotions data are
mapped to a 3D animated face using Autodesk Motionbuilder.