Facial expression recognition and synthesis based on an appearance model - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Signal Processing: Image Communication Année : 2004

Facial expression recognition and synthesis based on an appearance model

Résumé

This article addresses the issue of expressive face modelling using an active appearance model for facial expression recognition and synthesis. We consider the six universal emotional categories namely joy, anger, fear, disgust, sadness and surprise. After a description of the active appearance model (computed with 3 or only one PCA), we address the active appearance model contribution to automatic facial expression recognition. Then we propose a new method for analysis and synthesis allowing, from a single photo, to cancel the facial expression on a given face and to artificially synthesize novel expressions on this same face. In this last framework, we propose two facial expression modelling approaches.

Dates et versions

hal-00143335 , version 1 (25-04-2007)

Identifiants

Citer

Bouchra Abboud, Franck Davoine, Mô Dang. Facial expression recognition and synthesis based on an appearance model. Signal Processing: Image Communication, 2004, 19 (8), pp.723-740. ⟨10.1016/j.image.2004.05.009⟩. ⟨hal-00143335⟩
2940 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More