DirectGraphicalModels::CPDFGaussian Class Reference

Gaissian-based PDF class. More...

#include <PDFGaussian.h>

Inheritance diagram for DirectGraphicalModels::CPDFGaussian:

Collaboration diagram for DirectGraphicalModels::CPDFGaussian:

Public Member Functions
	CPDFGaussian (void)
virtual	~CPDFGaussian (void)
virtual void	reset (void)
	Resets class variables. More...
virtual void	addPoint (Scalar point)
	Adds a sample point for PDF estimation. More...
virtual double	getDensity (Scalar point)
	Returns the probability density value for the argument point. More...
virtual Scalar	min (void) const
	Returns the lower argument boundary of the PDF. More...
virtual Scalar	max (void) const
	Returns the upper argument boundary of the PDF. More...
Public Member Functions inherited from DirectGraphicalModels::IPDF
	IPDF (void)
virtual	~IPDF (void)
bool	isEstimated (void)
	Checks weather the PDF was estimated. More...
Public Member Functions inherited from DirectGraphicalModels::CBaseRandomModel
	CBaseRandomModel (byte nStates)
	Constructor. More...
virtual	~CBaseRandomModel (void)
virtual void	save (const std::string &path, const std::string &name=std::string(), short idx=-1) const
	Saves the training data. More...
virtual void	load (const std::string &path, const std::string &name=std::string(), short idx=-1)
	Loads the training data. More...
byte	getNumStates (void) const
	Returns number of states (classes) More...

Protected Member Functions
virtual void	saveFile (FILE *pFile) const
	Saves the random model into the file. More...
virtual void	loadFile (FILE *pFile)
	Loads the random model from the file. More...
Protected Member Functions inherited from DirectGraphicalModels::CBaseRandomModel
std::string	generateFileName (const std::string &path, const std::string &name, short idx) const
	Generates name of the data file for storing random model parameters. More...

Private Attributes
double	m_mu
double	m_sigma2

Additional Inherited Members
Protected Attributes inherited from DirectGraphicalModels::IPDF
long	m_nPoints
	The number of samples, added with the addPoint() function. More...
Protected Attributes inherited from DirectGraphicalModels::CBaseRandomModel
byte	m_nStates
	The number of states (classes) More...

Detailed Description

Gaissian-based PDF class.

This class approximates PDF via Gaussian functions.

Author

Sergey G. Kosov, serge.nosp@m.y.ko.nosp@m.sov@p.nosp@m.roje.nosp@m.ct-10.nosp@m..de

Definition at line 15 of file PDFGaussian.h.

Constructor & Destructor Documentation

CPDFGaussian()

DirectGraphicalModels::CPDFGaussian::CPDFGaussian ( void  )

inline

Definition at line 18 of file PDFGaussian.h.

~CPDFGaussian()

virtual DirectGraphicalModels::CPDFGaussian::~CPDFGaussian ( void  )

inlinevirtual

Definition at line 19 of file PDFGaussian.h.

Member Function Documentation

addPoint()

void DirectGraphicalModels::CPDFGaussian::addPoint ( Scalar  point )

virtual

Adds a sample point for PDF estimation.

Parameters

point

The sample point.

Implements DirectGraphicalModels::IPDF.

Definition at line 11 of file PDFGaussian.cpp.

getDensity()

double DirectGraphicalModels::CPDFGaussian::getDensity ( Scalar  point )

virtual

Returns the probability density value for the argument point.

Parameters

point

The sample point.

Returns

The corresponding probaility density value.

Implements DirectGraphicalModels::IPDF.

Definition at line 24 of file PDFGaussian.cpp.

loadFile()

void DirectGraphicalModels::CPDFGaussian::loadFile ( FILE *  pFile )

protectedvirtual

Loads the random model from the file.

Allows to re-use the class.

Parameters

pFile

Pointer to the file, opened for reading.

Implements DirectGraphicalModels::CBaseRandomModel.

Definition at line 38 of file PDFGaussian.cpp.

max()

virtual Scalar DirectGraphicalModels::CPDFGaussian::max ( void  ) const

inlinevirtual

Returns the upper argument boundary of the PDF.

Returns

The upper bound

Implements DirectGraphicalModels::IPDF.

Definition at line 26 of file PDFGaussian.h.

min()

virtual Scalar DirectGraphicalModels::CPDFGaussian::min ( void  ) const

inlinevirtual

Returns the lower argument boundary of the PDF.

Returns

The lower bound

Implements DirectGraphicalModels::IPDF.

Definition at line 25 of file PDFGaussian.h.

reset()

void DirectGraphicalModels::CPDFGaussian::reset ( void  )

virtual

Resets class variables.

Allows to re-use the class.

Implements DirectGraphicalModels::CBaseRandomModel.

Definition at line 5 of file PDFGaussian.cpp.

saveFile()

void DirectGraphicalModels::CPDFGaussian::saveFile ( FILE *  pFile ) const

protectedvirtual

Saves the random model into the file.

Allows to re-use the class.

Parameters

pFile

Pointer to the file, opened for writing.

Implements DirectGraphicalModels::CBaseRandomModel.

Definition at line 32 of file PDFGaussian.cpp.

Member Data Documentation

m_mu

double DirectGraphicalModels::CPDFGaussian::m_mu

private

Definition at line 35 of file PDFGaussian.h.

m_sigma2

double DirectGraphicalModels::CPDFGaussian::m_sigma2

private

Definition at line 36 of file PDFGaussian.h.

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

• D:/Projects/DGM/modules/DGM/PDFGaussian.h
• D:/Projects/DGM/modules/DGM/PDFGaussian.cpp