2020
DOI: 10.1007/s00371-020-01915-4
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LinSSS: linear decomposition of heterogeneous subsurface scattering for real-time screen-space rendering

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Cited by 3 publications
(3 citation statements)
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“…The main disadvantage of this approach is that it can't represent heterogeneous translucent materials accurately. [51] suggested a real-time screen-space rendering technique for representing the heterogeneity of subsurface scattering. The proposed technique is called as LinSSS.…”
Section: Bssrdf Representationsmentioning
confidence: 99%
“…The main disadvantage of this approach is that it can't represent heterogeneous translucent materials accurately. [51] suggested a real-time screen-space rendering technique for representing the heterogeneity of subsurface scattering. The proposed technique is called as LinSSS.…”
Section: Bssrdf Representationsmentioning
confidence: 99%
“…Since the main reason for isotropy is the 1D radial function Px(r)$P_{x}(r)$, a direct solution is to use the 2D vector d=xixo$d=x_{i}-x_{o}$ instead of r$r$ (Equation 20) [SW13]. Recently, another approximation has been proposed [YYM20] to represent this anisotropic scattering profile. Following two assumptions that materials are optically thick, and the local profile changes smoothly, Equation (20) can be transformed and further approximated as a weighted sum of Gaussians [dLE07]: R(xi,xo)=12false(Pxi(r)goodbreak+Pxo(r)false)=12hwxi,hGσhfalse(rfalse)+12hwxo,hGσhfalse(rfalse).$$\begin{equation} \begin{aligned} R(x_{i},x_{o})&=\frac{1}{2}(P_{x_{i}}(r)+P_{x_{o}}(r))\\[3pt] &=\frac{1}{2}\sum _{h}w_{x_{i},h}G_{\sigma _{h}}(r)+\frac{1}{2}\sum _{h}w_{x_{o},h}G_{\sigma _{h}}(r).…”
Section: Bssrdf Modelmentioning
confidence: 99%
“…Since the main reason for isotropy is the 1D radial function P x (r), a direct solution is to use the 2D vector d = x i − x o instead of r (Equation 20) [SW13]. Recently, another approximation has been proposed [YYM20] to represent this anisotropic scattering profile. Following two assumptions that materials are optically thick, and the local profile changes smoothly, Equation (20) can be transformed and further approximated as a weighted sum of Gaussians [dLE07]:…”
Section: Re-rendering Modelsmentioning
confidence: 99%