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
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);
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.692