A method is presented for separating corneal reflections in an image of human irises to estimate illumination from the surrounding scene. Previous techniques for reflection separation have demonstrated success in only limited cases, such as for uniform colored lighting and simple object textures, so they are not applicable to irises which exhibit intricate textures and complicated reflections of the environment. To make this problem feasible, we present a method that capitalizes on physical characteristics of human irises to obtain an illumination estimate that encompasses the prominent light contributors in the scene. Results of this algorithm are presented for eyes of different colors, including light colored eyes for which reflection separation is necessary to determine a valid illumination estimate.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Separating reflections in human iris images for illumination estimation


    Contributors:
    Huiqiong Wang, (author) / Lin, S. (author) / Xiaopei Liu, (author) / Sing Bing Kang, (author)


    Publication date :

    2005-01-01


    Size :

    414294 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Separating Reflections in Human Iris Images for Illumination Estimation

    Wang, H. / Lin, S. / Liu, X. et al. | British Library Conference Proceedings | 2005


    Robust and accurate iris segmentation in very noisy iris images

    Li, P. / Liu, X. / Xiao, L. et al. | British Library Online Contents | 2010


    A new iris segmentation method for non-ideal iris images

    Jeong, D. S. / Hwang, J. W. / Kang, B. J. et al. | British Library Online Contents | 2010


    Noisy iris segmentation with boundary regularization and reflections removal

    Donida Labati, R. / Scotti, F. | British Library Online Contents | 2010