Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101785
Title: Sparse coding for flexible, robust 3D facial-expression synthesis
Authors: Lin, Yuxu
Song, Mingli
Quynh, Dao Thi Phuong
He, Ying
Chen, Chun
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: 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.
Series/Report no.: IEEE computer graphics and applications
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.
URI: https://hdl.handle.net/10356/101785
http://hdl.handle.net/10220/16366
DOI: 10.1109/MCG.2012.41
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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