The aim of this paper is to find the best representation for the appearance of surfaces with Lambertian reflectance under varying illumination. Previous work using principal component analysis (PCA) found the best sub-space to represent all images of an object under a varying point light source. We extend this to images from any illumination distribution. Specifically we calculate the bases for all configurations of a point plus ambient light source and two point light sources, as well as from a database of captured real world illumination. We also reformulate the optimization criterion used in PCA. The resulting basis, we believe has higher representability and is better for analyzing images of shaded objects. The different bases are compared on a database of images to test the representability.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Low-dimensional representations of shaded surfaces under varying illumination


    Beteiligte:
    Nillius, P. (Autor:in) / Eklundh, J.-O. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    375963 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Low-Dimensional Representations of Shaded Surfaces under Varying Illumination

    Nillius, P. / Eklundh, J.-O. / IEEE | British Library Conference Proceedings | 2003


    3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination

    Jin, H. / Cremers, D. / Wang, D. et al. | British Library Online Contents | 2008


    Color constancy under varying illumination

    Finlayson, G.D. / Funt, B.V. / Barnard, K. | IEEE | 1995


    Color Constancy under Varying Illumination

    Finlayson, G. / Funt, B. / Barnard, K. et al. | British Library Conference Proceedings | 1995


    A solution to illumination direction estimation of a shaded image: Genetic algorithm

    Chow, C. K. / Yuen, S. Y. | British Library Online Contents | 2010