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In this paper, we propose a novel approach for recognizing facial expressions based on using an active appearance model facial feature tracking system with the quadratic deformation model representations of facial expressions. Thirty seven facial feature points are tracked based on the MPEG-4 facial animation parameters layout. The proposed approach relies on the Euclidean distance measures between...
In this paper we proposes a novel method to generate facial expressions on two-dimensional sketch-models and images. The six facial expressions (smile, sad, angry, disgust, fear, and surprise) are represented using a set of quadratic deformation parameters defined on muscle-based regions. Quadratic deformation parameters are obtained in a preprocessing stage when motion capture data for several points...
In this paper we propose a novel approach for representing facial expressions based on a quadratic deformation model applied to muscle regions. The non-linear nature of muscle deformations can be captured for each expression, by subdividing the face into 16 facial regions and using the most general rubber-sheet transformation of second degree. The deformation parameters are derived using a least-square...
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