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Automatic extraction of facial feature deformations (either due to identity change or expression) is a challenging task and could be the base of a facial expression interpretation system. We use Active Appearance Models and the simultaneous inverse compositional algorithm to extract facial deformations as a starting point and propose a modified version(More)
How do people tackle indeterminate spatial descriptions, that is those descriptions for which several representations are possible? Take for instance the two following statements: B is to the left of A, C is to the left of A. This description is indeterminate because it is compatible with at least two possibilities: (1) C B A; (2) B C A. Studies on human(More)
An Active Appearance Model (AAM) is a variable shape and appearance model built from annotated training images. It has been largely used to synthesize or fit face images. Person-independent face AAM fitting is a challenging open issue. For standard AAMs, fitting a face image for an individual which is not in the training set is often limited in accuracy,(More)
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