Photon Engine 2.0.0-beta
A physically based renderer.
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#include <ShapeInvariantMicrofacet.h>
Public Member Functions | |
ShapeInvariantMicrofacet (EMaskingShadowing maskingShadowingType) | |
virtual std::array< real, 2 > | getAlphas (const SurfaceHit &X) const =0 |
virtual real | lambda (const SurfaceHit &X, const math::Vector3R &N, const math::Vector3R &H, const math::Vector3R &unitDir, const std::array< real, 2 > &alphas) const =0 |
The \( \Lambda \left( a \right) \) function that appears in the masking-shadowing term. For isotropic distributions, the variable \( a \) is normally calculated as \( a = \frac{1}{\alpha \tan \left( \theta \right)} \), where \( \frac{1}{\tan \left( \theta \right)} \) is the slope of the unit direction unitDir (with respect to the macrosurface normal N . For anisotropic distributions, see the implementation of AnisoTrowbridgeReitz as an example for calculating \( a \) from the parameters. | |
real | distribution (const SurfaceHit &X, const math::Vector3R &N, const math::Vector3R &H) const override=0 |
Distribution of the microfacet normal. The \( D \) term. Also commonly knwon as the NDF (normal distribution function). This term is defined in the half-angle/microfacet space (the angle between N and H ) unless otherwise noted. | |
void | sampleH (const SurfaceHit &X, const math::Vector3R &N, const std::array< real, 2 > &sample, math::Vector3R *out_H) const override=0 |
Generate a microfacet normal H for the distribution. This samples all possible H vectors for the distribution. | |
real | geometry (const SurfaceHit &X, const math::Vector3R &N, const math::Vector3R &H, const math::Vector3R &L, const math::Vector3R &V) const override |
Masking and shadowing due to nearby microfacets. The \( G \) term. | |
lta::PDF | pdfSampleH (const SurfaceHit &X, const math::Vector3R &N, const math::Vector3R &H) const override |
Public Member Functions inherited from ph::Microfacet | |
virtual | ~Microfacet ()=default |
virtual void | sampleVisibleH (const SurfaceHit &X, const math::Vector3R &N, const math::Vector3R &V, const std::array< real, 2 > &sample, math::Vector3R *out_H) const |
Same as sampleH() , but tries to take geometry term into consideration. This samples only potentially visible H vectors for the distribution. If unable to fully or partly incorporate visibility information from the geometry term, this method will fallback to sampleH() . | |
virtual lta::PDF | pdfSampleVisibleH (const SurfaceHit &X, const math::Vector3R &N, const math::Vector3R &H, const math::Vector3R &V) const |
Protected Member Functions | |
real | smithG1 (real lambdaValue) const |
real | empiricalPhiCorrelation (const SurfaceHit &X, const math::Vector3R &L, const math::Vector3R &V) const |
real | projectedDistribution (const SurfaceHit &X, const math::Vector3R &N, const math::Vector3R &H) const |
real | visibleDistribution (const SurfaceHit &X, const math::Vector3R &N, const math::Vector3R &H, const math::Vector3R &V) const |
Protected Attributes | |
EMaskingShadowing | m_maskingShadowingType |
Additional Inherited Members | |
Static Protected Member Functions inherited from ph::Microfacet | |
static bool | isSidednessAgreed (real NoD, real HoD) |
static bool | isSidednessAgreed (real NoL, real NoV, real HoL, real HoV) |
A microfacet distribution that always has the same shape. The alpha
(mapped from roughness) parameter will only stretch and scale the shape.
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explicit |
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overridepure virtual |
Distribution of the microfacet normal. The \( D \) term. Also commonly knwon as the NDF (normal distribution function). This term is defined in the half-angle/microfacet space (the angle between N
and H
) unless otherwise noted.
H | The microfacet normal. |
Implements ph::Microfacet.
Implemented in ph::AnisoTrowbridgeReitz, ph::IsoBeckmann, ph::IsoTrowbridgeReitz, and ph::TrowbridgeReitz.
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protected |
The \( \lambda \) term for directional correlation. Note that the function is defined in a way that 0 corresponds to full correlation and 1 corresponds to no correlation.
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overridevirtual |
Masking and shadowing due to nearby microfacets. The \( G \) term.
Implements ph::Microfacet.
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pure virtual |
Implemented in ph::AnisoTrowbridgeReitz, ph::IsoBeckmann, ph::IsoTrowbridgeReitz, ph::IsoTrowbridgeReitzConstant, ph::IsoTrowbridgeReitzTextured, and ph::TrowbridgeReitz.
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pure virtual |
The \( \Lambda \left( a \right) \) function that appears in the masking-shadowing term. For isotropic distributions, the variable \( a \) is normally calculated as \( a = \frac{1}{\alpha \tan \left( \theta \right)} \), where \( \frac{1}{\tan \left( \theta \right)} \) is the slope of the unit direction unitDir
(with respect to the macrosurface normal N
. For anisotropic distributions, see the implementation of AnisoTrowbridgeReitz
as an example for calculating \( a \) from the parameters.
Implemented in ph::AnisoTrowbridgeReitz, ph::IsoBeckmann, ph::IsoTrowbridgeReitz, and ph::TrowbridgeReitz.
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inlineoverridevirtual |
H
using sampleH()
. Implements ph::Microfacet.
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inlineprotected |
distribution()
is defined in the half-angle/microfacet space, return the value after projecting it onto the macrosurface. This is the normalized form of distribution()
and can be a potential sampling PDF for microfacet normals.
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overridepure virtual |
Generate a microfacet normal H
for the distribution. This samples all possible H
vectors for the distribution.
out_H | The generated microfacet normal. |
pdfSampleH()
for the probability density of sampling the generated H
. distribution()
is not a probability density of microfacet normal. Implements ph::Microfacet.
Implemented in ph::AnisoTrowbridgeReitz, ph::IsoBeckmann, ph::IsoTrowbridgeReitz, and ph::TrowbridgeReitz.
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inlineprotected |
The \( G_1 \) term of Smith's masking-shadowing function.
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inlineprotected |
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protected |