Hao Li - publications [Realtime Performance-Based Facial Animation]

Realtime Performance-Based Facial Animation

REALTIME PERFORMANCE-BASED FACIAL ANIMATION

Thibaut Weise, Sofien Bouaziz, Hao Li, Mark Pauly

ACM Transactions on Graphics, Proceedings of the 38th ACM SIGGRAPH Conference and Exhibition 2011, 08/2011 – SIGGRAPH 2011

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This paper presents a system for performance-based character animation that enables any user to control the facial expressions of a digital avatar in realtime. The user is recorded in a natural environment using a non-intrusive, commercially available 3D sensor. The simplicity of this acquisition device comes at the cost of high noise levels in the acquired data. To effectively map low-quality 2D images and 3D depth maps to realistic facial expressions, we introduce a novel face tracking algorithm that combines geometry and texture registration with pre-recorded animation priors in a single optimization. Formulated as a maximum a posteriori estimation in a reduced parameter space, our method implicitly exploits temporal coherence to stabilize the tracking. We demonstrate that accurate 3D facial dynamics can be reconstructed in realtime without the use of face markers, intrusive lighting, or complex scanning hardware. This makes our system easy to deploy and facilitates a range of new applications, e.g. in digital gameplay or social interactions.

PAPER VIDEO

crapy intput

(M$ Kinect)

great output

SIGGRAPH 2011 FAST FORWARD