Information fusion for local gabor features based frontal face verification

Authors:
Enrique Argones Rúa;Josef Kittler;Jose Luis Alba Castro;Daniel González Jiménez
Affiliations:
Signal Theory Group, Signal Theory and Communications Dep., University of Vigo, Spain;Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK;Signal Theory Group, Signal Theory and Communications Dep., University of Vigo, Spain;Signal Theory Group, Signal Theory and Communications Dep., University of Vigo, Spain
Venue:
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Year:
2006

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Abstract

We address the problem of fusion in a facial component approach to face verification. In our study the facial components are local image windows defined on a regular grid covering the face image. Gabor jets computed in each window provide face representation. A fusion architecture is proposed to combine the face verification evidence conveyed by each facial component. A novel modification of the linear discriminant analysis method is presented that improves fusion performance as well as providing a basis for feature selection. The potential of the method is demonstrated in experiments on the XM2VTS data base.