Vision-based Control of 3D Facial Animation
Loading...
Date
2003
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
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.
Description
@inproceedings{:10.2312/SCA03/193-206,
booktitle = {Symposium on Computer Animation},
editor = {D. Breen and M. Lin},
title = {{Vision-based Control of 3D Facial Animation}},
author = {Chai, Jin-xiang and Xiao, Jing and Hodgins, Jessica},
year = {2003},
publisher = {The Eurographics Association},
ISSN = {1727-5288},
ISBN = {1-58113-659-5},
DOI = {/10.2312/SCA03/193-206}
}