Model-Based Illumination Correction for Face Images in Uncontrolled Scenarios

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

    3 Citations (Scopus)

    Abstract

    Face Recognition under uncontrolled illumination conditions is partly an unsolved problem. Several illumination correction methods have been proposed, but these are usually tested on illumination conditions created in a laboratory. Our focus is more on uncontrolled conditions. We use the Phong model which allows us to model ambient light in shadow areas. By estimating the face surface and illumination conditions, we are able to reconstruct a face image containing frontal illumination. The reconstructed face images give a large improvement in performance of face recognition in uncontrolled conditions.
    Original languageUndefined
    Title of host publicationComputer Analysis of Images and Patterns 2009
    Place of PublicationBerlin
    PublisherSpringer
    Pages33-40
    Number of pages8
    ISBN (Print)978-3-642-03766-5
    DOIs
    Publication statusPublished - 29 Aug 2009

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume5702/2009

    Keywords

    • METIS-264216
    • IR-68801
    • Surface Reconstruction
    • EWI-16958
    • Face Recognition
    • Illumination Correction
    • SCS-Safety
    • Uncontrolled

    Cite this