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Information Fusion for Local Gabor Features Based Frontal Face Verification

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Part of the book series:Lecture Notes in Computer Science ((LNIP,volume 3832))

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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.

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Author information

Authors and Affiliations

  1. Signal Theory Group, Signal Theory and Communications Dep., University of Vigo, 36310, Spain

    Enrique Argones Rúa, Jose Luis Alba Castro & Daniel González Jiménez

  2. Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XH, UK

    Josef Kittler

Authors
  1. Enrique Argones Rúa

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  2. Josef Kittler

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  3. Jose Luis Alba Castro

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  4. Daniel González Jiménez

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Editor information

Editors and Affiliations

  1. Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong

    David Zhang

  2. Department of Computer Science and Engineering, Michigan State University,  

    Anil K. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Rúa, E.A., Kittler, J., Castro, J.L.A., Jiménez, D.G. (2005). Information Fusion for Local Gabor Features Based Frontal Face Verification. In: Zhang, D., Jain, A.K. (eds) Advances in Biometrics. ICB 2006. Lecture Notes in Computer Science, vol 3832. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11608288_24

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