Automatic landmark detection and face recognition for side-view face images

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    Abstract

    In real-life scenarios where pose variation is up to side-view positions, face recognition becomes a challenging task. In this paper we propose an automatic side-view face recognition system designed for home-safety applications. Our goal is to recognize people as they pass through doors in order to determine their location in the house. Here, we introduce a recognition method, where we detect facial landmarks automatically for registration and identify faces. We test our system on sideview face images from CMU-Multi PIE database. We achieve 95.95% accuracy on detecting landmarks, and 89.04% accuracy on identification.
    Original languageUndefined
    Title of host publication2013 International Conference of the BIOSIG Special Interest Group (BIOSIG)
    EditorsArslan Broemme, Christoph Busch
    PublisherIEEE
    Pages337-344
    Number of pages8
    ISBN (Print)978-3-88579-606-0
    Publication statusPublished - 5 Sep 2013
    Event12th International Conference of the Biometrics Special Interest Group, BIOSIG 2013 - Darmstadt, Germany
    Duration: 4 Sep 20136 Sep 2013
    Conference number: 12

    Publication series

    NameLecture Notes in Informatics (LNI) - Proceedings
    PublisherGesellschaft für Informatik
    VolumeP-212
    ISSN (Print)1617-5468

    Conference

    Conference12th International Conference of the Biometrics Special Interest Group, BIOSIG 2013
    Abbreviated titleBIOSIG 2013
    CountryGermany
    CityDarmstadt
    Period4/09/136/09/13

    Keywords

    • SCS-Safety

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