Lighting has been shown to be one of the largest degradation factors of facial recognition systems. Several model and algorithmic approaches have been attempted to reduce this problem with varying success. We present here results from an experimental program which quantifies lighting variables including direction, temperature and colour, intensity, diffuseness and glare, as tested on the face-it and SQIS facial recognition systems. We conclude by recommending the use of lighting of colour temperature 4000 K and diffuse lighting from two horizontally aligned sources, 508 lx at 45/spl deg/ to the forward gaze line of the subject.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Baselining illumination variables for improved facial recognition system performance


    Contributors:


    Publication date :

    2003-01-01


    Size :

    283298 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Baselining Illumination Variables for Improved Facial Recognition System Performance

    McLindin, B. A. / IEEE / EURASIP | British Library Conference Proceedings | 2003



    Baselining behaviour: driving towards more realistic simulations?

    Stedmon, A. W. / Carter, C. / Bayer, S. H. | British Library Conference Proceedings | 2001


    WFIRST Phase B HLC Occulter Mask Baselining And Testbed Performance Validation

    Basinger, Scott / Poberezhskiy, Ilya Y. / Balasubramanian, Kunjithapatham et al. | NTRS | 2019


    Variance-Based Metric Dn for Baselining, Verification, and Validation

    Langenbrunner, James / Booker, Jane / Hemez, Francois et al. | AIAA | 2007