Model-based reconstruction for illumination variation in face images

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    Abstract

    We propose a novel method to correct for arbitrary illumination variation in the face images. The main purpose is to improve recognition results of face images taken under uncontrolled illumination conditions. We correct the illumination variation in the face images using a face shape model, which allows us to estimate the face shape in the face image. Using this face shape, we can reconstruct a face image under frontal illumination. These reconstructed images improve the results in face identification. We experimented both with face images acquired under different controlled illumination conditions in a laboratory and under uncontrolled illumination conditions.
    Original languageUndefined
    Title of host publication8th IEEE International Conference on Automatic Face and Gesture Recognition
    Place of PublicationLos Alamitos
    PublisherIEEE Computer Society Press
    Pages1-6
    Number of pages6
    ISBN (Print)978-1-4244-2154-1
    DOIs
    Publication statusPublished - 19 Sep 2008
    Event8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 - Amsterdam, Netherlands
    Duration: 17 Sep 200819 Sep 2008
    Conference number: 8

    Publication series

    Name
    PublisherIEEE Computer Society Press

    Conference

    Conference8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
    Abbreviated titleFG
    CountryNetherlands
    CityAmsterdam
    Period17/09/0819/09/08

    Keywords

    • EWI-13514
    • SCS-Safety
    • Face Recognition
    • IR-65006
    • Illumination Normalization
    • METIS-263690

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