Sparse coding for flexible, robust 3D facial-expression synthesis
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 fac...
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sg-ntu-dr.10356-1017852020-05-28T07:19:12Z Sparse coding for flexible, robust 3D facial-expression synthesis Lin, Yuxu Song, Mingli Quynh, Dao Thi Phuong He, Ying Chen, Chun School of Computer Engineering DRNTU::Engineering::Computer science and engineering 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. 2013-10-10T04:11:55Z 2019-12-06T20:44:29Z 2013-10-10T04:11:55Z 2019-12-06T20:44:29Z 2012 2012 Journal Article Lin, Y., Song, M., Quynh, D. T. P., He, Y., & Chen, C. (2012). Sparse coding for flexible, robust 3D facial-expression synthesis. IEEE computer graphics and applications, 32(2), 76-88. https://hdl.handle.net/10356/101785 http://hdl.handle.net/10220/16366 10.1109/MCG.2012.41 en IEEE computer graphics and applications |
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DRNTU::Engineering::Computer science and engineering Lin, Yuxu Song, Mingli Quynh, Dao Thi Phuong He, Ying Chen, Chun Sparse coding for flexible, robust 3D facial-expression synthesis |
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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. |
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School of Computer Engineering |
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School of Computer Engineering Lin, Yuxu Song, Mingli Quynh, Dao Thi Phuong He, Ying Chen, Chun |
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Article |
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Lin, Yuxu Song, Mingli Quynh, Dao Thi Phuong He, Ying Chen, Chun |
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Lin, Yuxu |
title |
Sparse coding for flexible, robust 3D facial-expression synthesis |
title_short |
Sparse coding for flexible, robust 3D facial-expression synthesis |
title_full |
Sparse coding for flexible, robust 3D facial-expression synthesis |
title_fullStr |
Sparse coding for flexible, robust 3D facial-expression synthesis |
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Sparse coding for flexible, robust 3D facial-expression synthesis |
title_sort |
sparse coding for flexible, robust 3d facial-expression synthesis |
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2013 |
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https://hdl.handle.net/10356/101785 http://hdl.handle.net/10220/16366 |
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1681059211006443520 |