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2004
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Model-Based and Image-Based Methods for Facial Image Synthesis, Analysis and Recognition

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Model-Based and Image-Based Methods for Facial Image Synthesis, Analysis and Recognition
We review several model-based and image-based methods that we have developed for analyzing, synthesizing, and recognizing facial images. Our model-based methods include a sophisticated, functional model of the human face/head, which incorporates a biomechanical tissue model with embedded muscle actuators, and techniques for applying it to computer animation and expression estimation in video. Our image-based methods include TensorFaces, a nonlinear (multilinear) representation for facial image ensembles that disentangles pose, illumination, and expression effects to improve facial recognition.
Demetri Terzopoulos, Yuencheng Lee, M. Alex O. Vas
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2004
Where FGR
Authors Demetri Terzopoulos, Yuencheng Lee, M. Alex O. Vasilescu
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