A Real Time Face Tracking And Animation System

Authors:
Xiaozhou Wei;Zhiwei Zhu;Lijun Yin;Qiang Ji
Affiliations:
SUNY at Binghamton, NY;Rensselaer Polytechnic Institute, Troy, NY;SUNY at Binghamton, NY;Rensselaer Polytechnic Institute, Troy, NY
Venue:
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 5 - Volume 05
Year:
2004

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Abstract

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.