ACM SIGGRAPH 2010 papers
Expression transfer for facial sketch animation
Signal Processing
ACM Transactions on Interactive Intelligent Systems (TiiS)
Data-driven facial expression synthesis via Laplacian deformation
Multimedia Tools and Applications
High fidelity facial animation capture and retargeting with contours
Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer Animation
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This paper presents a labor-saving method to construct optimal facial animation blendshapes from given blendshape sketches and facial motion capture data. At first, a mapping function is established between target “Marker Face” and performer's face by RBF interpolating selected feature points. Sketched blendshapes are transferred to performer's “Marker Face” by using motion vector adjustment technique. Then, the blendshapes of performer's “Marker Face” are optimized according to the facial motion capture data. At last, the optimized blendshapes are inversely transferred to target facial model. Apart from that, this paper also proposes a method of computing blendshape weights from facial motion capture data more accurately. Experiments show that expressive facial animation can be acquired. Copyright © 2008 John Wiley & Sons, Ltd.