Modeling and Compressing 3-D Facial Expressions Using Geometry Videos

• Main Authors: XIA, Jiazhi, QUYNH, Dao T. P., HE, Ying, CHEN, Xiaoming, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: 3-D facial expression; H264/AVC; expression-invariant parameterization; feature correspondence; geometry video (GV); video compression; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2276; https://ink.library.smu.edu.sg/context/sis_research/article/3276/viewcontent/Compressing3_D_Facial_2012.pdf
• Institution: Singapore Management University

In this paper, we present a novel geometry video (GV) framework to model and compress 3-D facial expressions. GV bridges the gap of 3-D motion data and 2-D video, and provides a natural way to apply the well-studied video processing techniques to motion data processing. Our framework includes a set...