PerlinNoise< T, N > Class Template Reference

Real-valued smooth noise over N dimensions. More...

#include <geomc/function/PerlinNoise.h>

Public Types
typedef PointType< index_t, N >	gridtype
typedef PointType< T, N >	pointtype
typedef gridtype::point_t	grid_t
typedef pointtype::point_t	point_t
	Coordinate type: Vec<T,N> if N > 0; T if N == 1.

Public Member Functions
	PerlinNoise ()
	PerlinNoise (Random *rng)
T	eval (point_t pt) const
std::pair< T, point_t >	gradient (point_t pt) const

Public Attributes
boost::shared_array< point_t >	gradients
boost::shared_array< index_t >	p

Protected Member Functions
const point_t &	get_grid_gradient (const grid_t &pt) const

Static Protected Member Functions
static grid_t	corner (index_t i)
static T	fade (T t)
static T	dfade_dt (T t)

Friends
class	detail::_ImplPerlinInit< T, N >

Detailed Description

template<typename T, index_t N>
class geom::PerlinNoise< T, N >

Real-valued smooth noise over N dimensions.

Perlin noise has _O(2^N)_ time cost.

Constructor & Destructor Documentation

PerlinNoise() [1/2]

PerlinNoise ( )

inline

Construct a new perlin noise object with the default (non-reentrant) random number generator.

PerlinNoise() [2/2]

PerlinNoise ( Random *  rng )

inline

Construct a new perlin noise object with the supplied random number generator.

Parameters

rng	A source of random bits.

Member Function Documentation

eval()

T eval ( point_t  pt ) const

inline

Evaluate the noise at pt.

gradient()

std::pair< T, point_t > gradient ( point_t  pt ) const

inline

Evaluate the gradient of the noise function at pt.

Parameters

pt	Location at which to sample the noise function.

Returns

A pair of (noise(x), gradient(noise(x))).

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

• geomc/function/FunctionTypes.h
• geomc/function/PerlinNoise.h