A Real Time Face Tracking And Animation System
Xiaozhou Wei, Zhiwei Zhu, Lijun Yin, Qiang Ji · 2005
In this paper, a novel system for real time face tracking and animation is presented. The system is composed of two major components: (1) real time infra-red (IR) based active facial feature tracking, and (2) real time facial expression generation based on a 3D face avatar. Twenty-two feature points, head pose orientation and eye close-open status are effectively extracted through a video input. Based on the detected facial features, a 3D face model is animated by a dynamic inference algorithm and a transformation from facial motion parameters to facial animation parameters. The work can be extended to the fields of real time facial expression analysis and synthesis for applications of human-computer interaction, model-based video conferencing and low bit rate avatar communication. The performance of the developed system is evaluated by its real time implementation for facial expression generation.