Fixed FAR Vote Fusion of regional Facial Classifiers

Lieuwe Jan Spreeuwers, Raymond N.J. Veldhuis, S. Sultanali, J. Diephuis

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    Holistic face recognition methods like PCA and LDA have the disadvantage that they are very sensitive to expression, hair and illumination variations. This is one of the main reasons they are no longer competitive in the major benchmarks like FRGC and FRVT. In this paper we present an LDA based approach that combines many overlapping regional classifiers (experts) using what we call a Fixed FAR Voting Fusion (FFVF) strategy. The combination by voting of regional classifiers means that if there are sufficient regional classifiers unaffected by the expression, illumination or hair variations, the fused classifier will still correctly recognise the face. The FFVF approach has two interesting properties: it allows robust fusion of dependent classifiers and it only requires a single parameter to be tuned to obtain weights for fusion of different classifiers. We show the potential of the FFVF of regional classifiers using the standard benchmarks experiments 1 and 4 on FRGCv2 data. The multiregion FFVF classifier has a FRR of 4% at FAR=0.1% for controlled and 38% for uncontrolled data compared to 7% and 56% for the best single region classifier.
    Original languageUndefined
    Title of host publicationBIOSIG 2014: Proceedings of the 13th International Conference of the Biometrics Special Interest Group
    EditorsC. Busch, A. Brömme
    Place of PublicationDarmstadt
    PublisherGesellschaft für Informatik
    Number of pages8
    ISBN (Print)978-3-88579-624-4
    Publication statusPublished - Sep 2014
    Event13th International Conference of the Biometrics Special Interest Group, BIOSIG 2014 - Darmstadt, Germany
    Duration: 10 Sep 201412 Sep 2014
    Conference number: 13

    Publication series

    PublisherGesellschaft für Informatik


    Conference13th International Conference of the Biometrics Special Interest Group, BIOSIG 2014
    Abbreviated titleBIOSIG 2014


    • EWI-24960
    • SCS-Safety
    • IR-91652
    • METIS-305972
    • Face recognition fusion regional

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