In this paper, we present a novel illumination insensitive image, called integral normalized gradient image (INIGI), for face recognition. Unlike previous model-based methods, which require training images or have many str constrains for implementation, the proposed representation is simple and generic. Based on the intrinsic and extrinsic factor definition, we firstly normalized the gradient with a smoothed version of input image and then integrate the result into new grayscale image. To avoid unwanted smoothing effects on step edge region, anisotropic diffusion method is introduced. Experiment results on FRGC DB prove that our new approach is very effective in improving verification rate for both holistic and local features.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Integral Normalized Gradient Image A Novel Illumination Insensitive Representation


    Contributors:
    Samsung, S. (author)


    Publication date :

    2005-01-01


    Size :

    600664 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Illumination insensitive eigenspaces

    Bischof, H. / Wildenauer, H. / Leonardis, A. | IEEE | 2001


    Illumination Insensitive Eigenspaces

    Bischof, H. / Wildenauer, H. / Leonardis, A. et al. | British Library Conference Proceedings | 2001


    Illumination insensitive recognition using eigenspaces

    Bischof, H. / Wildenauer, H. / Leonardis, A. | British Library Online Contents | 2004


    Edge detection insensitive to changes of illumination in the image

    Arandiga, F. / Cohen, A. / Donat, R. et al. | British Library Online Contents | 2010


    On the representation of normalized wave spectra

    Ferdinande, V. | IOS Press | 1977