We present a unified framework for modeling intrinsic properties of face images for recognition. It is based on the quotient image (QI) concept, in particular on the existing works of QI, spherical harmonic, image ratio and retinex. Under this framework, we generalize these previous works into two new algorithms: (1) non-point light quotient image (NPL-QI) extends QI to deal with non-point light sources by modeling non-point light directions using spherical harmonic bases; (2) self-quotient image (S-QI) extends QI to perform illumination subtraction without the need for alignment and no shadow assumption. Experimental results show that our algorithms can significantly improve the performance of face recognition under varying illumination conditions.


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    Title :

    Generalized quotient image


    Contributors:
    Haitao Wang, (author) / Li, S.Z. (author) / Yangsheng Wang, (author)


    Publication date :

    2004-01-01


    Size :

    594503 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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