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Automatic Anticipation Generation for 3D Facial Animation  

Choi Jung-Ju (아주대학교 미디어학부)
Kim Dong-Sun ((주)엔젠)
Lee In-Kwon (연세대 컴퓨터과학과)
Publication Information
Journal of KIISE:Computer Systems and Theory / v.32, no.1, 2005 , pp. 39-48 More about this Journal
Abstract
According to traditional 2D animation techniques, anticipation makes an animation much convincing and expressive. We present an automatic method for inserting anticipation effects to an existing facial animation. Our approach assumes that an anticipatory facial expression can be found within an existing facial animation if it is long enough. Vertices of the face model are classified into a set of components using principal components analysis directly from a given hey-framed and/or motion -captured facial animation data. The vortices in a single component will have similar directions of motion in the animation. For each component, the animation is examined to find an anticipation effect for the given facial expression. One of those anticipation effects is selected as the best anticipation effect, which preserves the topology of the face model. The best anticipation effect is automatically blended with the original facial animation while preserving the continuity and the entire duration of the animation. We show experimental results for given motion-captured and key-framed facial animations. This paper deals with a part of broad subject an application of the principles of traditional 2D animation techniques to 3D animation. We show how to incorporate anticipation into 3D facial animation. Animators can produce 3D facial animation with anticipation simply by selecting the facial expression in the animation.
Keywords
facial animation; anticipation; principal component analysis;
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