Abstract
We introduce a novel parameterization of facial expressions by using elastic surface model. The elastic surface model has been used as a deformation tool especially for nonrigid organic objects. The parameter of expressions is either retrieved from existing articulated face models or obtained indirectly by manipulating facial muscles. The obtained parameter can be applied on target face models dissimilar to the source model to create novel expressions. Due to the limited number of control points, the animation data created using the parameterization require less storage size without affecting the range of deformation it provides. The proposed method can be utilized in many ways: (1) creating a novel facial expression from scratch, (2) parameterizing existing articulation data, (3) parameterizing indirectly by muscle construction, and (4) providing a new animation data format which requires less storage.
Highlights
Recent interests in facial modeling and animation have been spurred by the increasing appearance of virtual characters in film and video, inexpensive desktop processing power, and the potential for a new 3D immersive communication metaphor for human-computer interaction
Facial modeling and animation technique is a difficult task, because exact classifications are complicated by the lack of exact boundaries between methods and the fact that recent approaches often integrate several methods to produce better results
The conceptual storage size required to store the animation data is given by STparam = # of facial control points ∗ (3 floats)
Summary
Recent interests in facial modeling and animation have been spurred by the increasing appearance of virtual characters in film and video, inexpensive desktop processing power, and the potential for a new 3D immersive communication metaphor for human-computer interaction. Facial modeling and animation technique is a difficult task, because exact classifications are complicated by the lack of exact boundaries between methods and the fact that recent approaches often integrate several methods to produce better results. The classification of these methods is described in the survey report [1]. Many efforts have been put on physicbased muscle modeling to model anatomical facial behavior more faithfully These are categorized into three: mass-spring systems, vector representation, and layered spring meshes. Mass-spring methods propagate muscle forces in an elastic spring mesh that models skin deformation [2].
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