Curvature-dependent reflectance function for rendering translucent materials

2010 ◽  
Author(s):  
Hiroyuki Kubo ◽  
Yoshinori Dobashi ◽  
Shigeo Morishima
Keyword(s):  
Reflectance Function

A Bi-Directional Reflectance Function for Woven Textiles

1998 ◽  
Author(s):  
Brad Hunting ◽  
Stephen Derby ◽  
Raymond Puffer
Keyword(s):  
Surface Properties ◽  
Broad Class ◽  
Fiber Surface ◽  
Anisotropic Model ◽  
Reflectance Function ◽  
Function Models ◽  
Woven Textile ◽  
Special Case ◽  
Reflectance Data ◽  
Directional Reflectance

Abstract This paper presents a novel bi-directional reflectance function for woven textile substrates. The new reflectance function models a broad class of woven substrates, including substrates with significant anisotropic reflectance. Isotropic behavior is handled as a special case of the anisotropic model. The new model recognizes fiber surface properties, thread geometry, and weave geometry. Experimental reflectance data is presented.

Formula for spectral reflectance function of Munsell color

1984 ◽  
Vol 68 (Appendix) ◽  
pp. 76-76
Author(s):  
K. Takahama ◽  
H. Sobagaki ◽  
Y. Nayatani
Keyword(s):  
Spectral Reflectance ◽  
Reflectance Function

scholarly journals Curvature-Dependent Reflectance Function for Interactive Rendering of Subsurface Scattering

2011 ◽  
Vol 10 (1) ◽  
pp. 45-51
Author(s):  
Hiroyuki Kubo ◽  
Yoshinori Dobashi ◽  
Shigeo Morishima
Keyword(s):  
Human Skin ◽  
Curve Fitting ◽  
Simulated Data ◽  
Single Parameter ◽  
Surface Scattering ◽  
Subsurface Scattering ◽  
Data Set ◽  
Interactive Rendering ◽  
Reflectance Function ◽  
Translucent Material

Simulating sub-surface scattering is one of the most effective ways to realistically synthesize translucent materials such as marble, milk or human skin. We have developed a curvature-dependent reflectance function (CDRF) which mimics the presence of subsurface scattering. In this approach, we provide only a single parameter that represents the intensity of theincident light scattered in a translucent material. The parameter is not only provided by curve-fitting to a simulated data-set, but also manipulated by an artist. Furthermore, this approach is easily implementable on a GPU and does not require any complicated pre-processing and multi-pass rendering as is often the case in this area of research.

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