Online Expression Control

Real-time animation and control of three-dimensional facial expressions using a single video camera

 

Project description

Controlling and animating the facial expression of a computer-generated 3D character is a difficult problem because the face has many degrees of freedom while most available input devices have few. In this paper, we show that a rich set of lifelike facial actions can be created from a preprocessed motion capture database and that a user can control these actions by acting out the desired motions in front of a video camera. We develop a real-time facial tracking system to extract a small set of animation control parameters from video. Because of the nature of video data, these parameters may be noisy, low-resolution, and contain errors. The system uses the knowledge embedded in motion capture data to translate these low-quality 2D animation control signals into high-quality 3D facial expressions. To adapt the synthesized motion to a new character model, we introduce an efficient expression retargeting technique whose run-time computation is constant independent of the complexity of the character model. We demonstrate the power of this approach through two users who control and animate a wide range of 3D facial expressions of different avatars.

Publications

    PDF(low res, 2.5M) / PDF(high res, 16.3M)

Videos and slides

Related projects

Face Poser: Interactive Facial Expression Modeling Using Model Priors 

ACM SIGGRAPH/Eurographics Symposium on Computer Animation  (SCA 2007), In press.

Constraint-based Motion Optimization Using A Statistical Dynamic Model

ACM Transactions on Graphics (SIGGRAPH 2007), In press.

      Performance Animation from Low-dimensional Control Signals

ACM Transactions on Graphics (SIGGRAPH 2005).

      Interactive Control of Avatars Animated with Human Motion Data

ACM Transactions on Graphics (SIGGRAPH 2002).

 


Jinxiang Chai
Last Updated:
May 12, 2007