In tins paper we propose a new method for simultaneously estimating the illumination of the scene and the reflectance property of an object from a single image. We assume that the illumination consists of multiple point sources and the shape of the object is known. Unlike previous methods, we will recover not only the direction and intensity of the light sources, but also the number of light sources and the specular reflection parameter of the object. First, we represent the illumination on the surface of a unit sphere as a finite mixture of von Mises-Fisher distributions by deriving a spherical specular reflection model. Next, we estimate this mixture and the number of distributions. Finally, using this result as initial estimates, we refine the estimates using the original specular reflection model. We can use the results to render the object under novel lighting conditions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multiple light sources and reflectance property estimation based on a mixture of spherical distributions


    Contributors:
    Hara, K. (author) / Nishino, K. (author) / Ikeuchi, K. (author)


    Publication date :

    2005-01-01


    Size :

    765893 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Multiple Light Sources and Reflectance Property Estimation Based on a Mixture of Spherical Distributions

    Hara, K. / Nishino, K. / Ikeuchi, K. et al. | British Library Conference Proceedings | 2005


    Estimation of benthic reflectance with Bayesian linear mixture models

    Fick, Ronald / McCubbin, Ian / Mouroulis, Pantazis et al. | NTRS | 2017


    Variational Shape and Reflectance Estimation Under Changing Light and Viewpoints

    Birkbeck, N. / Cobzas, D. / Sturm, P. et al. | British Library Conference Proceedings | 2006


    Vehicular light unit with multiple light sources

    KAWAMURA KAZUYUKI / MATSUMOTO MASATOMO / AOYAMA KAZUO et al. | European Patent Office | 2016

    Free access