Title :
Self shadowing and local illumination of randomly rough surfaces
Author_Institution :
Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA
fDate :
27 June-2 July 2004
Abstract :
This paper develops an analytic model for self shadowing and local illumination of rough surfaces. The surface is assumed homogeneous, isotropic, and smooth microscopically, with a Gaussian height field. The total reflection is decomposed into single and multiple scattering. A shadowing factor is derived as a function of surface roughness, and color variation due to multiple scattering is described. This model is compared to previous models and the effects of surface roughness are studied via rendered images.
Keywords :
Gaussian processes; image colour analysis; light scattering; lighting; rendering (computer graphics); surface roughness; Gaussian height field; analytic model; color variation; homogeneous surface; illumination; isotropic surface; multiple scattering; rendered images; self shadowing factor; single scattering; smooth microscopically surface; surface roughness; Fresnel reflection; Light scattering; Lighting; Microscopy; Optical reflection; Rendering (computer graphics); Rough surfaces; Shadow mapping; Sun; Surface roughness;
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
Print_ISBN :
0-7695-2158-4
DOI :
10.1109/CVPR.2004.1315027
