3-D Motion Estimation in Model-Based Facial Image Coding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling, Tracking and Interactive Animation of Faces and Heads Using Input from Video
CA '96 Proceedings of the Computer Animation
Modeling living systems for computer vision
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Facial Expression Analysis under Various Head Poses
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Performance driven facial animation by appearance based tracking
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
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This paper presents a novel view-based approach to quantify and reproduce facial expressions, by systematically exploiting the degrees of freedom allowed by a realistic face model. This approach embeds efficient mesh morphing and texture animations to synthesize facial expressions. We suggest using eigenfeatures, built from synthetic images, and designing an estimator to interpret the responses of the eigenfeatures on a facial expression in terms of animation parameters.