Sparse coding for flexible, robust 3D facial-expression synthesis

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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Bibliographic Details
Main Authors: Lin, Yuxu, Song, Mingli, Quynh, Dao Thi Phuong, He, Ying, Chen, Chun
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Computer science and engineering
Online Access:https://hdl.handle.net/10356/101785
http://hdl.handle.net/10220/16366
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Institution: Nanyang Technological University
Language: English
Description
Summary: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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