title: Sparse coding for flexible, robust 3D facial-expression synthesis.
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.
authors.forename: Yuxu
authors.initials: Y
authors.lastname: Lin
authors.forename: Mingli
authors.initials: M
authors.lastname: Song
authors.forename: Dao Thi Phuong
authors.initials: DT
authors.lastname: Quynh
authors.forename: Ying
authors.initials: Y
authors.lastname: He
authors.forename: Chun
authors.initials: C
authors.lastname: Chen
mesh_terms: D003196:Computer Graphics; D003198:Computer Simulation; D005149:Facial Expression; D006801:Humans; D021621:Imaging, Three-Dimensional