An Active Illumination and Appearance (AIA) Model for Face Alignment

Fatih Kahraman, Muhittin Gokmen, Sune Darkner, Rasmus Larsen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Face recognition systems are typically required to work under highly varying illumination conditions. This leads to complex effects imposed on the acquired face image that pertains little to the actual identity. Consequently, illumination normalization is required to reach acceptable recognition rates in face recognition systems. In this paper, we propose an approach that integrates the face identity and illumination models under the widely used Active Appearance Model framework as an extension to the texture model in order to obtain illumination-invariant face localization
    Original languageEnglish
    Title of host publicationProceedings of the CVPR 2007, IEEE Computer Society Workshop on Biometrics
    PublisherIEEE Computer Society Press
    Publication date2007
    ISBN (Print)1-4244-1180-7
    DOIs
    Publication statusPublished - 2007
    EventProceedings of the CVPR 2007, IEEE Computer Society Workshop on Biometrics -
    Duration: 1 Jan 2007 → …

    Conference

    ConferenceProceedings of the CVPR 2007, IEEE Computer Society Workshop on Biometrics
    Period01/01/2007 → …

    Keywords

    • faces
    • texture
    • shape
    • illumination
    • aam

    Fingerprint Dive into the research topics of 'An Active Illumination and Appearance (AIA) Model for Face Alignment'. Together they form a unique fingerprint.

    Cite this