Optimal decision fusion for verification of face sequences

Q. Tao

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

    13 Downloads (Pure)


    Face sequence contains more information of the user than a single face image. In this paper, optimal decision fusion is proposed to verify the face sequences, based on the original verification system for a single face image. We show by experiments that optimal decision fusion is a simple but effective approach, and that the performance of the original verification system can be significantly boosted by introducing face sequences and applying optimal decision fusion on them.
    Original languageUndefined
    Title of host publicationProceedings of the 28th Symposium on Information Theory in the Benelux
    EditorsRaymond N.J. Veldhuis, R.N.J. Veldhuis, H.S. Cronie
    Place of PublicationEindhoven
    PublisherWerkgemeenschap voor Informatie- en Communicatietheorie (WIC)
    Number of pages7
    ISBN (Print)978-90-365-2509-1
    Publication statusPublished - 24 May 2007
    Event28th Symposium on Information Theory in the Benelux 2007 - Best Western Dish Hotel, Enschede, Netherlands
    Duration: 24 May 200725 May 2007
    Conference number: 28

    Publication series

    PublisherWerkgemeenschap voor Informatie- en Communicatietechniek


    Conference28th Symposium on Information Theory in the Benelux 2007


    • SCS-Safety
    • IR-61880
    • METIS-241833
    • EWI-10857

    Cite this