Sparse coding for flexible, robust 3D facial-expression synthesis
Quynh, Dao Thi Phuong
Date of Issue2012
School of Computer 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.
DRNTU::Engineering::Computer science and engineering
IEEE computer graphics and applications