• DocumentCode
    2610979
  • Title

    Image-Based Rendering of Synthetic Diffuse Objects in Natural Scenes

  • Author

    Alnasser, Mais ; Foroosh, Hassan

  • Author_Institution
    Computational Imaging Lab, Central Florida Univ., Orlando, FL
  • Volume
    4
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    787
  • Lastpage
    790
  • Abstract
    We present a method for solving the global illumination problem for synthetic diffuse objects. The approach generates realistic shading for applications where a synthetic object is to be inserted in a natural scene. Using only a few images of the surroundings of the object, we first build an environment map for representing the ambient light. We then model the global illumination integral using Chebyshev polynomials. We show that due to the orthogonality of 2D Chebyshev moments, the global illumination integral can reduce to the inner product of two vectors, representing the irradiance and the bidirectional reflectance distribution function (BRDF). The Chebyshev moments of these two functions are computed off-line and stored in the memory. The rendering of the object in the scene then becomes a simple problem of computing the inner product of the two vectors for each point
  • Keywords
    Chebyshev approximation; natural scenes; polynomials; realistic images; rendering (computer graphics); vectors; 2D Chebyshev moment orthogonality; Chebyshev polynomials; ambient light; bidirectional reflectance distribution function; environment map; global illumination integral; image-based rendering; irradiance; natural scenes; object rendering; realistic shading; synthetic diffuse objects; vector product; Chebyshev approximation; Data structures; Grid computing; Image storage; Integral equations; Interpolation; Layout; Lighting; Polynomials; Rendering (computer graphics);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.692
  • Filename
    1699958