GaussianNoiseModel Class Reference

Gaussian noise class. More...

#include <GaussianNoiseModel.hh>

Inherits Noise.

Inherited by ImageGaussianNoiseModel.

Public Types
enum	NoiseType { NONE, CUSTOM, GAUSSIAN }
	Which noise types we support. More...

Public Member Functions
	GaussianNoiseModel ()
	Constructor. More...
virtual	~GaussianNoiseModel ()
	Destructor. More...
double	Apply (double _in)
	Apply noise to input data value. More...
double	ApplyImpl (double _in)
	Apply noise to input data value. More...
virtual void	Fini ()
	Finalize the noise model. More...
double	GetBias () const
	Accessor for bias. More...
double	GetMean () const
	Accessor for mean. More...
NoiseType	GetNoiseType () const
	Accessor for NoiseType. More...
double	GetStdDev () const
	Accessor for stddev. More...
virtual void	Load (sdf::ElementPtr _sdf)
	Load noise parameters from sdf. More...
virtual void	Print (std::ostream &_out) const
	Documentation inherited. More...
virtual void	SetCamera (rendering::CameraPtr _camera)
	Set camera needed to create image noise. More...
virtual void	SetCustomNoiseCallback (boost::function< double(double)> _cb)
	Register a custom noise callback. More...

Protected Attributes
double	bias
	If type starts with GAUSSIAN, the bias we'll add. More...
double	mean
	If type starts with GAUSSIAN, the mean of the distribution from which we sample when adding noise. More...
double	precision
	If type==GAUSSIAN_QUANTIZED, the precision to which the output signal is rounded. More...
bool	quantized
	True if the type is GAUSSIAN_QUANTIZED. More...
double	stdDev
	If type starts with GAUSSIAN, the standard deviation of the distribution from which we sample when adding noise. More...

Detailed Description

Gaussian noise class.

Gaussian noise class for image sensors.

Member Enumeration Documentation

NoiseType

enum NoiseType

inherited

Which noise types we support.

Enumerator
NONE
CUSTOM
GAUSSIAN

Constructor & Destructor Documentation

GaussianNoiseModel()

GaussianNoiseModel

(

)

Constructor.

~GaussianNoiseModel()

virtual ~GaussianNoiseModel ( )

virtual

Destructor.

Member Function Documentation

Apply()

double Apply ( double  _in )

inherited

Apply noise to input data value.

Parameters

[in]

_in

Input data value.

Returns

Data with noise applied.

ApplyImpl()

double ApplyImpl ( double  _in )

virtual

Apply noise to input data value.

This gets overriden by derived classes, and called by Apply.

Parameters

[in]

_in

Input data value.

Returns

Data with noise applied.

Reimplemented from Noise.

Fini()

virtual void Fini ( )

virtual

Finalize the noise model.

Reimplemented from Noise.

Reimplemented in ImageGaussianNoiseModel.

GetBias()

double GetBias

(

)

const

Accessor for bias.

Returns

Bias on output.

GetMean()

double GetMean

(

)

const

Accessor for mean.

Returns

Mean of Gaussian noise.

GetNoiseType()

NoiseType GetNoiseType ( ) const

inherited

Accessor for NoiseType.

Returns

Type of noise currently in use.

GetStdDev()

double GetStdDev

(

)

const

Accessor for stddev.

Returns

Standard deviation of Gaussian noise.

Load()

virtual void Load ( sdf::ElementPtr  _sdf )

virtual

Load noise parameters from sdf.

Parameters

[in]	_sdf	SDF parameters.
[in]	_sensor	Type of sensor.

Reimplemented from Noise.

Reimplemented in ImageGaussianNoiseModel.

Print()

virtual void Print ( std::ostream &  _out ) const

virtual

Documentation inherited.

Reimplemented from Noise.

Reimplemented in ImageGaussianNoiseModel.

SetCamera()

virtual void SetCamera ( rendering::CameraPtr  _camera )

virtualinherited

Set camera needed to create image noise.

This is only needed for image sensors, i.e. camera/multicamera/depth sensors, which use shaders for more efficient noise generation.

Parameters

[in]

_camera

Camera associated to an image sensor

Reimplemented in ImageGaussianNoiseModel.

SetCustomNoiseCallback()

virtual void SetCustomNoiseCallback ( boost::function< double(double)>  _cb )

virtualinherited

Register a custom noise callback.

Parameters

[in]

_cb

Callback function for applying a custom noise model. This is useful if users want to use their own noise model from a sensor plugin.

Member Data Documentation

bias

double bias

protected

If type starts with GAUSSIAN, the bias we'll add.

mean

double mean

protected

If type starts with GAUSSIAN, the mean of the distribution from which we sample when adding noise.

precision

double precision

protected

If type==GAUSSIAN_QUANTIZED, the precision to which the output signal is rounded.

quantized

bool quantized

protected

True if the type is GAUSSIAN_QUANTIZED.

stdDev

double stdDev

protected

If type starts with GAUSSIAN, the standard deviation of the distribution from which we sample when adding noise.

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

• GaussianNoiseModel.hh