Performance of optical flow techniques
International Journal of Computer Vision
Coding, Analysis, Interpretation, and Recognition of Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Facial Expression Analysis under Various Head Poses
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Vision-based control of 3D facial animation
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
A Real Time Face Tracking And Animation System
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 5 - Volume 05
Cylindrical Model-Based Head Tracking and 3D Pose Recovery from Sequential Face Images
ICHIT '06 Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 01
A realistic human face modeling from photographs by use of skin color and model deformation
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
A nonparametric skin color model for face detection from color images
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
3D Virtual worlds and the metaverse: Current status and future possibilities
ACM Computing Surveys (CSUR)
Hi-index | 0.00 |
This paper introduces a novel approach for vision-based head motion tracking and facial expression cloning to create the realistic facial animation of 3D avatar in real time. The exact head pose estimation and facial expression tracking are critical problems to be solved in developing a vision based computer animation. The proposed method consists of dynamic head pose estimation and facial expression cloning. The proposed head pose estimation technique can robustly estimate 3D head pose from a sequence of input video images. Given an initial reference template of head image and corresponding 3D head pose, full the head motion is recovered by projecting a cylindrical head model to the face image. By updating the template dynamically, it is possible to recover head pose robustly regardless of light variation and self-occlusion. In addition, to produce a realistic 3D face animation, the variation of major facial feature points is tracked by use of optical flow and retargeted to the 3D avatar. We exploit Gaussian RBF to deform the local region of 3D face model around the major feature points. During the model deformation, the clusters of the regional feature points around the major facial features are estimated and the positions of the clusters are changed according to the variation of the major feature points. From the experiments, we can prove that the proposed vision-based animation technique efficiently estimate 3D head pose and produce realistic 3D facial animation rather than using feature-based tracking method.