Modeling 3D Facial Expressions using Geometry Videos

• Main Authors: XIA, Jiazhi, HE, Ying, QUYNH, Dao T. P., CHEN, Xiaoming, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2010
• Subjects: 3D facial expression; feature correspondence; geometry video; H.264/AVC; motion data; motion data parametrization; video compression; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2358; https://ink.library.smu.edu.sg/context/sis_research/article/3358/viewcontent/Model3DFacialExpressionsGeoVideos.pdf
• Institution: Singapore Management University

The significant advances in developing high-speed shape acquisition devices make it possible to capture the moving and deforming objects at video speeds. However, due to its complicated nature, it is technically challenging to effectively model and store the captured motion data. In this paper, we p...