• DocumentCode
    3018905
  • Title

    Inverse rendering in SUV space with a linear texture model

  • Author

    Aldrian, Oswald ; Smith, William A P

  • Author_Institution
    Univ. of York, York, UK
  • fYear
    2011
  • fDate
    6-13 Nov. 2011
  • Firstpage
    822
  • Lastpage
    829
  • Abstract
    In this paper, we consider the problem of inverse rendering in the case where surface texture can be approximated by a linear basis. Assuming a dichromatic reflectance model, we show that spherical harmonic illumination coefficients and texture parameters can be estimated in a specular invariant colour subspace by solving a system of bilinear equations. We focus on the case of faces, where both shape and texture can be efficiently described by a linear statistical model. In this context, we are able to fit a 3D morphable model to a single colour image, accounting for both non-Lambertian specular reflectance and complex illumination of the same light source colour. We are able to recover statistical texture model parameters with an accuracy comparable to more computationally expensive analysis-by-synthesis approaches. Moreover, our approach requires only the solution of convex optimisation problems.
  • Keywords
    convex programming; image colour analysis; image texture; lighting; rendering (computer graphics); solid modelling; statistical analysis; 3D morphable model; SUV space; analysis-by-synthesis approaches; bilinear equations; convex optimisation problems; dichromatic reflectance model; invariant colour subspace; inverse rendering problem; light source colour; linear statistical model; linear texture model; nonLambertian specular reflectance; reflectance model; spherical harmonic illumination coefficients; statistical texture model; Computational modeling; Harmonic analysis; Image color analysis; Lighting; Mathematical model; Shape; Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-0062-9
  • Type

    conf

  • DOI
    10.1109/ICCVW.2011.6130337
  • Filename
    6130337