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Sparse Coding for Flexible, Robust 3D Facial-Expression Synthesis
March-April 2012 (vol. 32 no. 2)
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
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.

1. B. Olshausen and D. Field, "Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images," Nature, vol. 381, no. 6583, 1996, pp. 607–609.
2. E. Candès, J. Romberg, and T. Tao, "Stable Signal Recovery from Incomplete and Inaccurate Measurements," Comm. Pure and Applied Mathematics, vol. 59, no. 8, 2006, pp. 1207–1223.
3. D. Donoho, "For Most Large Underdetermined Systems of Linear Equations the Minimal ℓ1-Norm Solution Is Also the Sparsest Solution," Comm. Pure and Applied Mathematics, vol. 59, no. 6, 2006, pp. 797–829.
4. H. Lee et al., "Efficient Sparse Coding Algorithms," Proc. 20th Conf. Neural Information Processing Systems, MIT Press, 2007, pp. 801–808.
5. S. Zhang and P. Huang, "High-Resolution, Real-Time 3D Shape Acquisition," Proc. 2004 Computer Vision and Pattern Recognition Workshop (CVPRW 04), IEEE CS Press, 2004, p. 28.
6. M. Song et al., "A Generic Framework for Efficient 2-D and 3-D Facial Expression Analogy," IEEE Trans. Multimedia, vol. 9, no. 7, 2007, pp. 1384–1395.
1. F.I. Parke and K. Waters, Computer Facial Animation, A K Peters, 1996.
2. D. Tao et al., "Bayesian Tensor Approach for 3-D Face Modeling," IEEE Trans. Circuits and Systems for Video Technology, vol. 18, no. 10, 2008, pp. 1397–1410.
3. F.I. Parke, "Parameterized Models for Facial Animation," IEEE Computer Graphics and Applications, vol. 2, no. 9, pp. 61–68, 1982.
4. K. Waters, "A Muscle Model for Animation Three-Dimensional Facial Expression," Proc. Siggraph, ACM, 1987, pp. 17–24.
5. J.-Y. Noh and U. Neumann, "Expression Cloning," Proc. Siggraph, ACM, 2001, pp. 277–288.
6. M. Song et al., "A Generic Framework for Efficient 2-D and 3-D Facial Expression Analogy," IEEE Trans. Multimedia, vol. 9, no. 7, 2007, pp. 1384–1395.
7. D. Vlasic et al., "Face Transfer with Multilinear Models," ACM Trans. Graphics, vol. 24, no. 3, 2005, pp. 426–433.

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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