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

Kenji Hara, Ko Nishino, Katsushi Ikeuchi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    22 Citations (Scopus)

    Abstract

    In this paper, we propose a new method for simultaneously estimating the illumination of the scene and the reflectance property of the 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.

    Original languageEnglish
    Title of host publicationProceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
    Pages1627-1634
    Number of pages8
    DOIs
    Publication statusPublished - 2005
    EventProceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005 - Beijing, China
    Duration: Oct 17 2005Oct 20 2005

    Publication series

    NameProceedings of the IEEE International Conference on Computer Vision
    VolumeII

    Other

    OtherProceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
    Country/TerritoryChina
    CityBeijing
    Period10/17/0510/20/05

    All Science Journal Classification (ASJC) codes

    • Software
    • Computer Vision and Pattern Recognition

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