Performance-driven facial animation
SIGGRAPH '90 Proceedings of the 17th 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
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
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
Active Appearance Models Revisited
International Journal of Computer Vision
Edutainment '08 Proceedings of the 3rd international conference on Technologies for E-Learning and Digital Entertainment
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In this paper, we present a fast individual face modeling and animation system. The input of the system is a single frontal face image, which is captured by an ordinary video camera. And the output is 3D individual facial animation. Firstly, an Adaboost method is used to detect the face in the image. Then the key points of the face are located with the inverse compositional algorithm based active appearance models (AAM). The 3D geometry mesh of the individual face is then generated with morphable models. Finally, the direction and magnitude of existed motion vectors are adjusted according to different 3D face shapes using expression cloning technique. With this system, we can achieve realistic 3D facial animation with minimal and often no manual tuning. The experiments show that our system is fast enough for common applications.