In this paper, we propose an original framework for three dimensional face representation and similarity matching. Basic traits of a face are encoded by extracting convex and concave regions from the surface of a face model. A compact graph representation is then constructed from these regions through an original modeling technique capable to quantitatively measure spatial relationships between regions in a three dimensional space and to encode this information in an attributed relational graph. In this way, the structural similarity between two face models is evaluated by matching their corresponding graphs. Experimental results on a 3D face database show that the proposed solution attains high retrieval accuracy and is reasonably robust to facial expression and pose changes.

3D Face Recognition by Modeling the Arrangement of Concave and Convex Regions / S. BERRETTI; A. DEL BIMBO; P. PALA. - STAMPA. - LNCS 4398(2007), pp. 108-118. ((Intervento presentato al convegno 4th International Workshop on Adaptive Multimedia Retrieval: User, Context, and Feedback (AMR'06) tenutosi a Ginevra, Svizzera nel July 27-28 [10.1007/978-3-540-71545-0_9].

3D Face Recognition by Modeling the Arrangement of Concave and Convex Regions

BERRETTI, STEFANO;DEL BIMBO, ALBERTO;PALA, PIETRO
2007

Abstract

In this paper, we propose an original framework for three dimensional face representation and similarity matching. Basic traits of a face are encoded by extracting convex and concave regions from the surface of a face model. A compact graph representation is then constructed from these regions through an original modeling technique capable to quantitatively measure spatial relationships between regions in a three dimensional space and to encode this information in an attributed relational graph. In this way, the structural similarity between two face models is evaluated by matching their corresponding graphs. Experimental results on a 3D face database show that the proposed solution attains high retrieval accuracy and is reasonably robust to facial expression and pose changes.
Adaptive Multimedia Retrieval: User, Context, and Feedback
4th International Workshop on Adaptive Multimedia Retrieval: User, Context, and Feedback (AMR'06)
Ginevra, Svizzera
July 27-28
S. BERRETTI; A. DEL BIMBO; P. PALA
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/236637
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