A study on illumination normalization for 2D face verification

Qian Tao*, Raymond Veldhuis

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    2 Citations (Scopus)

    Abstract

    Illumination normalization is very important for 2D face verification. This study examines the state-of-art illumination normalization methods, and proposes two solutions, namely horizontal Gaussian derivative filters and local binary patterns. Experiments show that our methods significantly improve the generalization capability, while maintaining good discrimination capability of a face verification system. The proposed illumination normalization methods have low requirements on image acquisition, and low computation complexities, and are very suitable for low-end 2D face verification systems.

    Original languageEnglish
    Title of host publicationProceedings of the Third International Conference on Computer Vision Theory and Applications
    PublisherSCITEPRESS
    Pages42-49
    Number of pages8
    ISBN (Print)9789898111210
    DOIs
    Publication statusPublished - 15 Dec 2008
    Event3rd International Conference on Computer Vision Theory and Applications, VISAPP 2008 - Funchal, Madeira, Portugal
    Duration: 22 Jan 200825 Jan 2008
    http://www.visapp.visigrapp.org/VISAPP2008/

    Conference

    Conference3rd International Conference on Computer Vision Theory and Applications, VISAPP 2008
    Abbreviated titleVISAPP 2008
    CountryPortugal
    CityFunchal, Madeira
    Period22/01/0825/01/08
    Internet address

    Keywords

    • Face recognition
    • Gaussian derivative filters
    • Illumination normalization
    • Local binary patterns

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