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Analyse locale de la forme 3D pour la reconnaissance d'expressions faciales

Abstract : In this paper we propose a novel approach for indentityindependent 3D facial expression recognition. Our approach is based on shape analysis of local patches extracted from 3D facial shape model. A Riemannian framework is applied to compute geodesic distances between correspondent patches belonging to different faces of the BU-3DFE database and conveying different expressions. Quantitative measures of similarity are obtained and then used as inputs to several classification methods. Using Multiboosting and Support Vector Machines (SVM) classifiers, we achieved average recognition rates respectively equal to 98.81% and 97.75%.
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Submitted on : Tuesday, May 24, 2011 - 8:18:00 PM
Last modification on : Monday, March 9, 2020 - 11:48:34 AM
Long-term archiving on: : Thursday, August 25, 2011 - 2:30:37 AM


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  • HAL Id : inria-00595490, version 1



Ahmed Maalej, Boulbaba Ben Amor, Mohamed Daoudi. Analyse locale de la forme 3D pour la reconnaissance d'expressions faciales. ORASIS - Congrès des jeunes chercheurs en vision par ordinateur, INRIA Grenoble Rhône-Alpes, Jun 2011, Praz-sur-Arly, France. ⟨inria-00595490⟩



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