A geometric-vision approach to solve bilinear problems in general, and the color constancy and illuminant estimation problem in particular, is presented in this paper. We show a general framework, based on ideas from the generalized (probabilistic) Hough transform, to estimate the unknown variables in the bilinear form. In the case of illuminant and reflectance estimation in natural images, each image pixel "votes" for possible illuminants (or reflectance), and the estimation is based on cumulative votes. In the general case, the voting is for the parameters of the bilinear model. The framework is natural for the introduction of physical constraints. For the case of illuminant estimation, we briefly show the relation of this work with previous algorithms for color constancy, and present examples.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Bilinear voting


    Contributors:
    Sapiro, G. (author)


    Publication date :

    1998-01-01


    Size :

    689386 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Bilinear Voting

    Sapiro, G. / IEEE; Computer Society | British Library Conference Proceedings | 1998


    Noise in bilinear problems

    Haddon, J.A. / Forsyth, D.A. | IEEE | 2001


    Deterministic Bilinear System Identification

    Lee, Cheh-Han / Juang, Jer-Nan | Springer Verlag | 2013


    Generalized Bilinear System Identification

    Juang, Jer-Nan | Online Contents | 2009


    Deterministic Bilinear System Identification

    Lee, Cheh-Han / Juang, Jer-Nan | Online Contents | 2013