Facial expression recognition has been addressed mainly working on 2D images or videos. In this paper, the problem of person-independent facial expression recognition is addressed on 3D shapes. To this end, an original approach is proposed that relies on selecting the minimal-redundancy maximal-relevance features derived from a pool of SIFT feature descriptors computed in correspondence with facial landmarks of depth images. Training a Support Vector Machine for every basic facial expression to be recognized, and combining them to form a multiclass classifier, an average recognition rate of 77.5% on the BU-3DFE database has been obtained. Comparison with competitors approaches using a common experimental setting on the BU-3DFE database, shows that our solution is able to obtain state of the art results.

Person Independent 3D Facial Expression Recognition by a Selected Ensemble of SIFT Descriptors / S. Berretti; B. Ben Amor; M. Daoudi; A. Del Bimbo. - STAMPA. - (2010), pp. 47-54. ((Intervento presentato al convegno 3rd Eurographics/ACM SIGGRAPH Symposyum on 3D Object Retrieval tenutosi a Norrkooping, Svezia nel May 2 [10.2312/3DOR/3DOR10/047-054].

Person Independent 3D Facial Expression Recognition by a Selected Ensemble of SIFT Descriptors

BERRETTI, STEFANO;DEL BIMBO, ALBERTO
2010

Abstract

Facial expression recognition has been addressed mainly working on 2D images or videos. In this paper, the problem of person-independent facial expression recognition is addressed on 3D shapes. To this end, an original approach is proposed that relies on selecting the minimal-redundancy maximal-relevance features derived from a pool of SIFT feature descriptors computed in correspondence with facial landmarks of depth images. Training a Support Vector Machine for every basic facial expression to be recognized, and combining them to form a multiclass classifier, an average recognition rate of 77.5% on the BU-3DFE database has been obtained. Comparison with competitors approaches using a common experimental setting on the BU-3DFE database, shows that our solution is able to obtain state of the art results.
Eurographics Workshop on 3D Object Retrieval
3rd Eurographics/ACM SIGGRAPH Symposyum on 3D Object Retrieval
Norrkooping, Svezia
May 2
S. Berretti; B. Ben Amor; M. Daoudi; A. Del Bimbo
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2158/394824
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