Title :
Diffuse reflection [intensity reflectance model]
Author :
Wolff, Lawrence B.
Author_Institution :
Dept. of Comput. Sci., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
An intensity reflectance model is proposed for diffuse reflection originating from subsurface multiple scattering within inhomogeneous dielectric materials. One of the most common assumptions in computer vision from inhomogeneous dielectrics is Lambertian. The proposed model utilizes the subsurface intensity distribution predicted by modeling subsurface multiple scattering based upon radiative transfer theory. For an optically smooth surface boundary this subsurface intensity distribution becomes altered by Fresnel attenuation upon refraction into air, making it become significantly non-Lambertian. This resulting intensity distribution serves as a reflection law for individual optically smooth microfacets that compose an opaque rough surface, producing a physical unification of diffuse reflection with the Torrance-Sparrow specular reflection model. Experimental results that verify the accuracy of the model are presented. A relatively simple formula that approximates closely the true behaviour of diffuse reflection and can be used in place of a Lambertian term is presented. The non-Lambertian nature of the diffuse component becomes most significant near occluding contours and sometimes produces a previously unnoticed intensity effect that can aid in their detection
Keywords :
computer vision; stereo image processing; Fresnel attenuation; Lambertian; Torrance-Sparrow specular reflection model; computer vision; inhomogeneous dielectric materials; intensity reflectance model; occluding contours; opaque rough surface; optically smooth microfacets; optically smooth surface boundary; radiative transfer theory; subsurface intensity distribution; subsurface multiple scattering; Dielectric materials; Fresnel reflection; Optical attenuators; Optical reflection; Optical refraction; Optical scattering; Predictive models; Reflectivity; Rough surfaces; Surface roughness;
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
Print_ISBN :
0-8186-2855-3
DOI :
10.1109/CVPR.1992.223148