dc.contributor.authorLin, Yuxu
dc.contributor.authorSong, Mingli
dc.contributor.authorQuynh, Dao Thi Phuong
dc.contributor.authorHe, Ying
dc.contributor.authorChen, Chun
dc.identifier.citationLin, 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.
dc.description.abstractComputer 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.en_US
dc.relation.ispartofseriesIEEE computer graphics and applicationsen_US
dc.subjectDRNTU::Engineering::Computer science and engineering
dc.titleSparse coding for flexible, robust 3D facial-expression synthesisen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Computer Engineeringen_US

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