Synthesizing realistic facial expressions
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Synthesizing realistic facial expressions from photographs - Semantic Scholar
Synthesizing Realistic Facial Expressions from Photographs. Frédéric Pighin Jamie Hecker Dani Lischinski y Richard Szeliskiz David H. Salesin. University of .
Description:Using our technique, we have been able to generate highly realistic face models and natural looking animations. Abstracting with credit is permitted. To generate transitions between these facial expressions we use 3D shape morphing between the corresponding face modes, while at the same time blending the corresponding textures. Having recovered the camera poses and the facial geometry, we extract from the input images one or more texture maps for the model. A scattered data interpolation techniques is then used to deform a generic face mesh to fit the particular geometry of the subject's face. Using our technique, we have been able to generate highly realistic face models and natural looking animations.
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