sgd_base< CONF, NAME > Class Template Reference

The unnormalized SGD microfacet distribution and without shadowing and masking. More...

#include <sgd.h>

Inherited by sgd< CONF, NAME >.

Public Member Functions
	BBM_IMPORT_CONFIG (CONF)
Spectrum	eval (const Vec3d &halfway, Mask mask=true) const
	Evaluate the NDF.
Vec3d	sample (const Vec3d &view, const Vec2d &xi, Mask mask=true) const
	Sample the NDF.
Value	pdf (const Vec3d &view, const Vec3d &m, Mask mask=true) const
	PDF of sampling the NDF.
Value	G1 (const Vec3d &, const Vec3d &, Mask=true) const
	Monodirectional shadowing and masking factor.
	BBM_DEFAULT_CONSTRUCTOR (sgd_base)
	Default Constructor.

Static Public Attributes
static constexpr string_literal	name = NAME

Class Attributes
specular_roughness< Spectrum >	alpha
bsdf_parameter< Spectrum, bsdf_attr::SpecularParameter, 0.64 >	p
	BBM_ATTRIBUTES (alpha, p)

Detailed Description

template<typename CONF, string_literal NAME = "SGD_base">
requires concepts::config<CONF>
class bbm::ndf::sgd_base< CONF, NAME >

The unnormalized SGD microfacet distribution and without shadowing and masking.

Template Parameters

CONF	= bbm configuration
NAME	= ndf name (default = SGD_unnormalized)

Implements: concepts::ndf

Member Function Documentation

BBM_ATTRIBUTES()

BBM_ATTRIBUTES	(	alpha	,
		p
	)

BBM_DEFAULT_CONSTRUCTOR()

BBM_DEFAULT_CONSTRUCTOR ( sgd_base< CONF, NAME >  )

inline

Default Constructor.

BBM_IMPORT_CONFIG()

BBM_IMPORT_CONFIG

(

CONF

)

eval()

Spectrum eval ( const Vec3d &  halfway, Mask  mask = true  ) const

inline

Evaluate the NDF.

Parameters

halfway	= vector to eval the NDF for
mask	= enable/disbale lanes [default = true]

Returns

the resulting evaluation of the NDF

G1()

Value G1 ( const Vec3d &  , const Vec3d &  , Mask  = true  ) const

inline

Monodirectional shadowing and masking factor.

Parameters

v	= incident/exitant direction of transport
m	= microfacet normal.
mask	= enable/disable lanes [default = true]

Bagher et al. did not present an analytical solution and instead relied on a fitted rational approximation of the shadowing and masking function.

pdf()

Value pdf ( const Vec3d &  view, const Vec3d &  m, Mask  mask = true  ) const

inline

PDF of sampling the NDF.

Parameters

view	= view direction
m	= sampled microfacet normal
mask	= enable/disable lanes [default = true]

Returns

the PDF of sampling 'm' using the sample method.

sample()

Vec3d sample ( const Vec3d &  view, const Vec2d &  xi, Mask  mask = true  ) const

inline

Sample the NDF.

Parameters

view	= view direction
xi	= 2D uniform random variables in [0..1] range
Mask	= enable/disbale lanes

Returns

A sampled microfacet normal.

Member Data Documentation

alpha

specular_roughness<Spectrum> alpha

name

constexpr string_literal name = NAME

staticconstexpr

p

bsdf_parameter<Spectrum, bsdf_attr::SpecularParameter, 0.64> p

---

The documentation for this class was generated from the following file:

• include/ndf/sgd.h