FD::Covariance Class Reference

#include <covariance.h>

Inheritance diagram for FD::Covariance:

[legend]Collaboration diagram for FD::Covariance:

[legend]List of all members.

Public Member Functions
	Covariance (int dim)
	Covariance (const Covariance &cov)
virtual	~Covariance ()
virtual void	accumFrame (const float *v)=0
virtual void	accumFrame (const std::vector< float > &v)=0
unsigned int	size () const
double	getDeterminant () const
virtual void	compute_determinant () const =0
virtual void	printOn (std::ostream &out=std::cout) const =0
virtual double	mahalanobisDistance (const float *x1, const double *x2) const =0
virtual double &	operator[] (int)=0
virtual double &	operator() (int, int)=0
virtual void	reset ()=0
virtual Covariance *	copy ()=0
virtual void	invert ()=0
virtual void	processMean (RCPtr< Mean > mean)=0
Protected Types
enum	Mode { accum, real, rotated, inverted }
Protected Attributes
int	dimension
double	determinant
bool	determinant_is_valid
int	mode
int	accum_count
Friends
class	GMM

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Detailed Description

Abstract covariance class

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Constructor & Destructor Documentation

FD::Covariance::Covariance (  int  dim  )  [inline]

Create a Covariance with dim dimensions

FD::Covariance::Covariance (  const Covariance &  cov  )  [inline]

Copy constructor

virtual FD::Covariance::~Covariance (   )  [inline, virtual]

Virtual Destructor

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Member Function Documentation

virtual void FD::Covariance::accumFrame (  const std::vector< float > &  v  )  [pure virtual]

accumulates a frame to the covariance Implemented in FD::DiagonalCovariance.

virtual void FD::Covariance::accumFrame (  const float *  v  )  [pure virtual]

accumulates a frame to the covariance Implemented in FD::DiagonalCovariance.

virtual void FD::Covariance::compute_determinant (   )  const [pure virtual]

Computes the determinant Implemented in FD::DiagonalCovariance.

virtual Covariance* FD::Covariance::copy (   )  [pure virtual]

Returns a copy of the covariance Implemented in FD::DiagonalCovariance.

double FD::Covariance::getDeterminant (   )  const [inline]

Returns (and compute if necessary) the covariance log determinant

virtual void FD::Covariance::invert (   )  [pure virtual]

Converts from accumulate mode to real Implemented in FD::DiagonalCovariance.

virtual double FD::Covariance::mahalanobisDistance (  const float *  x1, const double *  x2 )  const [pure virtual]

Computed the mahalanobis distance between the vectors using the covariance Implemented in FD::DiagonalCovariance.

virtual double& FD::Covariance::operator() (  int  , int  )  [pure virtual]

Virtual indexing operator 2D Implemented in FD::DiagonalCovariance.

virtual double& FD::Covariance::operator[] (  int   )  [pure virtual]

Virtual indexing operator 1D (for diagonal covariance) Implemented in FD::DiagonalCovariance.

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

Prints the covariance Implements FD::Object. Implemented in FD::DiagonalCovariance.

virtual void FD::Covariance::processMean (  RCPtr< Mean >  mean  )  [pure virtual]

Substract mean^2, before the covariance can be inverted Implemented in FD::DiagonalCovariance.

virtual void FD::Covariance::reset (   )  [pure virtual]

Resets accumulation to zero Implemented in FD::DiagonalCovariance.

unsigned int FD::Covariance::size (   )  const [inline]

Returns the covariance size (dimension)

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Member Data Documentation

int FD::Covariance::accum_count [protected]

Number of frames accumulated

double FD::Covariance::determinant [mutable, protected]

Log of the determinant

bool FD::Covariance::determinant_is_valid [mutable, protected]

Whether or not the determinant has been computed

int FD::Covariance::dimension [protected]

Size of the covariance matrix

int FD::Covariance::mode [protected]

Mode

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

• covariance.h

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