FD::Gaussian Class Reference

#include <gaussian.h>

Inheritance diagram for FD::Gaussian:

[legend]Collaboration diagram for FD::Gaussian:

[legend]List of all members.

Public Member Functions
	Gaussian ()
	Gaussian (std::istream &in)
	Gaussian (int dim, Covariance *(*cov_new)(int))
	Gaussian (int dim, int _meanID, int _covarianceID)
	Gaussian (const Gaussian &g)
	~Gaussian ()
int	getDimension () const
Mean &	getMean () const
Covariance &	getCovariance () const
void	to_real ()
int	get_accum_count () const
double	mahalanobis (const float *fr) const
double	mahalanobis (const float *fr, Covariance *cov) const
double	euclidian (const float *fr) const
void	accum_frame (const float *fr)
void	reset_to_accum_mode ()
void	toIDsUsing (MeanSet &means, CovarianceSet &covariances)
void	toPtrsUsing (const MeanSet &means, const CovarianceSet &covariances)
void	printOn (std::ostream &out=std::cout) const
void	readFrom (std::istream &in=std::cin)
Protected Attributes
RCPtr< Mean >	mean
RCPtr< Covariance >	covariance
int	accum_count
int	dimension
bool	using_meanID
bool	using_covarianceID
int	meanID
int	covarianceID
Friends
class	GMM
std::istream &	operator>> (std::istream &in, Gaussian &gauss)

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Detailed Description

Gaussian class

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Constructor & Destructor Documentation

FD::Gaussian::Gaussian (   )  [inline]

Empty gaussian constructor

FD::Gaussian::Gaussian (  int  dim, Covariance *(*)(int)  cov_new )  [inline]

Construct a Gaussian with dimension dim and a covariance pseudo-factory (allows to create gaussians with either diagonal or full covariance

FD::Gaussian::Gaussian (  const Gaussian &  g  )  [inline]

Copy constructor

FD::Gaussian::~Gaussian (   )

Destructor

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Member Function Documentation

void FD::Gaussian::accum_frame (  const float *  fr  )  [inline]

Adds (accumulates) a frame to the gaussian

double FD::Gaussian::euclidian (  const float *  fr  )  const [inline]

Returns the euclidian distance between the gaussian and a frame

int FD::Gaussian::get_accum_count (   )  const [inline]

Returns the number of frames aligned to the gaussian

Covariance& FD::Gaussian::getCovariance (   )  const [inline]

Returns the covariance of the gaussian

int FD::Gaussian::getDimension (   )  const [inline]

Returns the dimension of the gaussian

Mean& FD::Gaussian::getMean (   )  const [inline]

Returns the mean of the gaussian

double FD::Gaussian::mahalanobis (  const float *  fr, Covariance *  cov )  const [inline]

Returns the mahalanobis distance between the gaussian and a frame

double FD::Gaussian::mahalanobis (  const float *  fr  )  const [inline]

Returns the mahalanobis distance between the gaussian and a frame

void FD::Gaussian::printOn (  std::ostream &  out = std::cout  )  const [virtual]

print function for operator << Implements FD::Object.

void FD::Gaussian::readFrom (  std::istream &  in = std::cin  )  [virtual]

Read function used for operator >> Reimplemented from FD::Object.

void FD::Gaussian::reset_to_accum_mode (   )  [inline]

Set everything to zero and come back to accumulate mode

void FD::Gaussian::to_real (   )

Convert from accumulate to real mode

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Member Data Documentation

int FD::Gaussian::accum_count [protected]

number of frames aligned (accumulated) to the covariance

RCPtr<Covariance> FD::Gaussian::covariance [protected]

The covariance of the gaussian is a pointer to abstract class Covariance

int FD::Gaussian::covarianceID [protected]

The ID of the gaussian's covariance

int FD::Gaussian::dimension [protected]

Dimension (same as the mean and covariance dimension)

RCPtr<Mean> FD::Gaussian::mean [protected]

The mean of the gaussian stored as an STL vector of float

int FD::Gaussian::meanID [protected]

The ID of the gaussian's mean

bool FD::Gaussian::using_covarianceID [protected]

Was the gaussian loaded using indexes for covariance

bool FD::Gaussian::using_meanID [protected]

Was the gaussian loaded using indexes for mean

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

• gaussian.h

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