Performance-driven facial animation
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In this paper we describe a method for re-mapping animation parameters between multiple types of facial model for performance driven animation. A facial performance can be analysed automatically in terms of a set of facial action trajectories using a modified appearance model with modes of variation encoding specific facial actions. These parameters can then be used to animate other appearance models, or 3D facial models. Thus, the animation parameters analysed from the video performance may be re-used to animate multiple types of facial model. We demonstrate the effectiveness of our approach by measuring its ability to successfully extract action-parameters from performances and by displaying frames from example animations.