Online Modeling For Realtime Facial Animation

被引:186
作者
Bouaziz, Sofien [1 ]
Wang, Yangang [2 ]
Pauly, Mark [1 ]
机构
[1] Ecole Polytech Fed Lausanne, Lausanne, Switzerland
[2] Tsinghua Univ, EPFL, Beijing, Peoples R China
来源
ACM TRANSACTIONS ON GRAPHICS | 2013年 / 32卷 / 04期
基金
瑞士国家科学基金会;
关键词
markerless performance capture; face animation; realtime tracking; blendshape animation; CAPTURE;
D O I
10.1145/2461912.2461976
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We present a new algorithm for realtime face tracking on commodity RGB-D sensing devices. Our method requires no user-specific training or calibration, or any other form of manual assistance, thus enabling a range of new applications in performance-based facial animation and virtual interaction at the consumer level. The key novelty of our approach is an optimization algorithm that jointly solves for a detailed 3D expression model of the user and the corresponding dynamic tracking parameters. Realtime performance and robust computations are facilitated by a novel subspace parameterization of the dynamic facial expression space. We provide a detailed evaluation that shows that our approach significantly simplifies the performance capture workflow, while achieving accurate facial tracking for realtime applications.
引用
收藏
页数:9
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