In this paper we present a fully automatic approach for identity-independent facial expression recognition from 3D video sequences. Towards that goal, we propose a novel approach to extract a scalar field that represents the deformations between faces conveying different expressions. We extract relevant features from this deformation field using LDA and then train a dynamic model on these features using HMM. Experiments conducted on BU-4DFE dataset following state-of-the-art settings show the effectiveness of the proposed approach.
A Dynamic Geometry-based Approach for 4D Facial Expression Recognition / Mohamed Daoudi; Hassen Drira; Boulbaba Ben Amor; Stefano Berretti. - STAMPA. - (2013), pp. 280-284. (Intervento presentato al convegno 4th European Workshop on Visual Information Processing tenutosi a Parigi, Francia nel 10-12 Giugno).
A Dynamic Geometry-based Approach for 4D Facial Expression Recognition
BERRETTI, STEFANO
2013
Abstract
In this paper we present a fully automatic approach for identity-independent facial expression recognition from 3D video sequences. Towards that goal, we propose a novel approach to extract a scalar field that represents the deformations between faces conveying different expressions. We extract relevant features from this deformation field using LDA and then train a dynamic model on these features using HMM. Experiments conducted on BU-4DFE dataset following state-of-the-art settings show the effectiveness of the proposed approach.File | Dimensione | Formato | |
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