Side-View Face Recognition

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    Abstract

    As a widely used biometrics, face recognition has many advantages such as being non-intrusive, natural and passive. On the other hand, in real-life scenarios with uncontrolled environment, pose variation up to side-view positions makes face recognition a challenging work. In this paper we discuss the use of side-view face recognition in house safety applications. Our goal is to recognize people as they pass through doors in order to estimate their location in the house. In order to preserve privacy of the people we attach our cameras on the door posts to limit the view, and deal with side-view face images. Here, we review current methods for side-view face recognition, compare available databases to be used for our task, and introduce a new method, where we use manually labeled landmarks for registration and warp the image to obtain shape-free face images. We test our system on side-view face images from CMU-Multi PIE database, and analyze our initial results.
    Original languageEnglish
    Title of host publication32nd WIC Symposium on Information Theory in the Benelux 2011
    EditorsOlivier van den Biggelaar
    Place of PublicationBrussels
    PublisherWerkgemeenschap voor Informatie- en Communicatietheorie (WIC)
    Pages305-312
    Number of pages8
    ISBN (Print)9789081721905
    Publication statusPublished - May 2011
    Event32nd WIC Symposium on Information Theory in the Benelux 2011 - Brussels, Belgium
    Duration: 10 May 201111 May 2011
    Conference number: 32

    Publication series

    Name
    PublisherWerkgemeenschap voor Informatie- en Communicatietheorie

    Conference

    Conference32nd WIC Symposium on Information Theory in the Benelux 2011
    CountryBelgium
    CityBrussels
    Period10/05/1111/05/11

    Keywords

    • METIS-285097
    • SCS-Safety
    • EWI-21443
    • IR-77276

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