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Issue No.02 - March-April (2012 vol.32)
pp: 76-88
Yuxu Lin , Zhejiang University
Mingli Song , Zhejiang University
Dao Thi Phuong Quynh , Nanyang Technological University
Ying He , Nanyang Technological University
Chun Chen , Zhejiang University
ABSTRACT
Computer animation researchers have been extensively investigating 3D facial-expression synthesis for decades. However, flexible, robust production of realistic 3D facial expressions is still technically challenging. A proposed modeling framework applies sparse coding to synthesize 3D expressive faces, using specified coefficients or expression examples. It also robustly recovers facial expressions from noisy and incomplete data. This approach can synthesize higher-quality expressions in less time than the state-of-the-art techniques.
INDEX TERMS
sparse coding, expression synthesis, expression retargeting, incomplete data, noisy data, facial-expression analogy, Bayesian tensor analysis, computer graphics, graphics and multimedia
CITATION
Yuxu Lin, Mingli Song, Dao Thi Phuong Quynh, Ying He, Chun Chen, "Sparse Coding for Flexible, Robust 3D Facial-Expression Synthesis", IEEE Computer Graphics and Applications, vol.32, no. 2, pp. 76-88, March-April 2012, doi:10.1109/MCG.2012.41
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