As a matter of fact, a growing number of animated film now use vision capture systems to produce just key animation, and rely on approaches based on audio or transcript to produce the vast majority of detail. ![]() Considering the constrains of facial capture methods, other input modalities, such as audio, may be used as a indispensable complementarity to infer facial motions. Although the capture systems are able to provide a pretty acceptable results, active capture rigs tend to be expensive and time-consuming to use because of the elaborate setups and processing steps. Vision-based performance capture rigs usually take advantage of motion sensors/markers and drive the animated face with the captured motion of a human face. Currently, great success has been achieved by vision-based facial capture techniques in synthesizing virtual human face. As an essential part of human machine interaction, facial animation has been applied on many applications, such as computer games, animated movies, man-machine conversation, virtual human agents, etc.
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