class Covariance

Public Methods

•  Covariance (int dim) : dimension(dim) , determinant(-10000) , determinant_is_valid(false), mode(accum)
•  Covariance (const Covariance &cov) : dimension(cov.dimension) , determinant(0) , determinant_is_valid(false) , mode (cov.mode) , accum_count(0)
• virtual ~ Covariance ()
• virtual void  accumFrame (const float *v)
• virtual void  accumFrame (const vector<float> &v)
• unsigned int  size () const
• double  getDeterminant () const
• virtual void  compute_determinant () const
• virtual void  printOn (ostream &out=cout) const
• virtual double  mahalanobisDistance (const float *x1, const double *x2) const
• virtual double&  operator[] (int )
• virtual double&  operator() (int,int)
• virtual void  reset ()
• virtual Covariance *  copy ()
• virtual void  invert ()
• virtual void  processMean (RCPtr<Mean> mean)

Public Members

• friend class GMM

Protected Types

• enum Mode {accum, real, rotated, inverted}

Protected Members

• int dimension
• mutable double determinant
• mutable bool determinant_is_valid
• int mode
• int accum_count

[protected]

[protected]

Size of the covariance matrix

[protected]

Log of the determinant

[protected]

Whether or not the determinant has been computed

[protected]

Mode

[protected]

Number of frames accumulated

Create a Covariance with dim dimensions

Copy constructor

[virtual]

Virtual Destructor

[pure virtual]

accumulates a frame to the covariance

[pure virtual]

accumulates a frame to the covariance

[const]

Returns the covariance size (dimension)

[const]

Returns (and compute if necessary) the covariance log determinant

[const pure virtual]

Computes the determinant

[const pure virtual]

Prints the covariance

Reimplemented from Object.

[const pure virtual]

Computed the mahalanobis distance between the vectors using the covariance

[pure virtual]

Virtual indexing operator 1D (for diagonal covariance)

[pure virtual]

Virtual indexing operator 2D

[pure virtual]

Resets accumulation to zero

[pure virtual]

Returns a copy of the covariance

[pure virtual]

Converts from accumulate mode to real

[pure virtual]

Substract mean^2, before the covariance can be inverted