A Set of Selected SIFT Features for 3D Facial Expression Recognition

Author

Berretti, Stefano ; Bimbo, Alberto Del ; Pala, Pietro ; Amor, Boulbaba Ben ; Daoudi, Mohamed

Author_Institution

Dipt. di Sist. e Inf., Univ. di Firenze, Florence, Italy

fYear

2010

fDate

23-26 Aug. 2010

Firstpage

4125

Lastpage

4128

Abstract

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 computes SIFT descriptors on a set of facial landmarks of depth images, and then selects the subset of most relevant features. Using SVM classification of the selected features, an average recognition rate of 77.5% on the BU-3DFE database has been obtained. Comparative evaluation on a common experimental setup, shows that our solution is able to obtain state of the art results.

Keywords

face recognition; image classification; support vector machines; transforms; 3D facial expression recognition; SIFT features; SVM classification; facial landmarks; person-independent facial expression recognition; scale invariant feature transform; Accuracy; Face; Face recognition; Feature extraction; Shape; Support vector machines; Three dimensional displays; 3D facial expression recognition; feature selection; svm classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (ICPR), 2010 20th International Conference on

Conference_Location

Istanbul

ISSN

1051-4651

Print_ISBN

978-1-4244-7542-1

Type

conf

DOI

10.1109/ICPR.2010.1002

Filename

5597734