A muscle model for animation three-dimensional facial expression
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Realistic modeling for facial animation
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Synthesizing realistic facial expressions from photographs
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
An example-based approach for facial expression cloning
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
An Integrated Approach to 3D Face Model Reconstruction from Video
RATFG-RTS '01 Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems (RATFG-RTS'01)
Robust and Rapid Generation of Animated Faces from Video Images: A Model-Based Modeling Approach
International Journal of Computer Vision - Special Issue on Research at Microsoft Corporation
3D Head Models Retrieval Based on Geometrical Measurement for Modeling
CGIV '05 Proceedings of the International Conference on Computer Graphics, Imaging and Visualization
3-D facial model estimation from single front-view facial image
IEEE Transactions on Circuits and Systems for Video Technology
Automatic and real-time 3D face synthesis
Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
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We present a fast algorithm for individual face modeling and animation. The method mainly has four steps. Firstly, feature points and 2D information are extracted from frontal face by a RealBoost-Gabor ASM method. Then, we propose a novel searching approach based on geometrical measurement, and select the similar generic model from database. We can calculate the lateral parameters and estimate the depth information of facial feature points. And, the corresponding generic model is deformed and texture is remapped to generate the individual face. Finally, we implement Radial Basis Functions (RBF) deformation to retarget the generic animation and generate individual facial animation.