In this paper, we introduce the concept of intrinsic illumination subspace which is based on the intrinsic images. This intrinsic illumination subspace enables an analytic generation of the illumination images under varying lighting conditions. When objects of the same class are concerned, our method allows a class-based generic intrinsic illumination subspace to be constructed in advance. We propose a lighting normalization method based on the generic intrinsic illumination subspace, which is used as a bootstrap subspace for novel images. Face recognition experiments are performed to demonstrate the effectiveness of our method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Lighting normalization with generic intrinsic illumination subspace for face recognition


    Contributors:


    Publication date :

    2005-01-01


    Size :

    396909 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Lighting Normalization with Generic Intrinsic Illumination Subspace for Face Recognition

    Chen, C.-P. / Chen, C.-S. / IEEE | British Library Conference Proceedings | 2005



    Illumination Normalization for Robust Face Recognition against Varying Lighting Conditions

    Shan, S. / Gao, W. / Cao, B. et al. | British Library Conference Proceedings | 2003


    Wavelet-Based Illumination Normalization for Face Recognition

    Du, S. / Ward, R. | British Library Conference Proceedings | 2005