class Gaussian

Public Methods

•  Gaussian () : dimension(0) , using_meanID(false) , using_covarianceID(false)
•  Gaussian (istream &in)
•  Gaussian (int dim, Covariance *(*cov_new)(int)) : mean(new Mean (dim,0.0)) , covariance(cov_new (dim)) , accum_count(0) , dimension(dim) , using_meanID(false) , using_covarianceID(false)
•  Gaussian (int dim, int _meanID, int _covarianceID) : accum_count(0) , dimension(dim) , using_meanID(true) , using_covarianceID(true) , meanID(_meanID) , covarianceID(_covarianceID)
•  Gaussian (const Gaussian &g) : mean(new Mean (*g.mean)) , covariance(g.covariance->copy()) , accum_count (g.accum_count) , dimension (g.dimension) , using_meanID(false) , using_covarianceID(false)
• ~ 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 (ostream &out = cout) const
• void  readFrom (istream &in=cin)
• friend istream & operator >> (istream &in, Gaussian &gauss)

Public Members

• friend class GMM

Protected Members

• RCPtr<Mean> mean
• RCPtr<Covariance> covariance
• int accum_count
• int dimension
• bool using_meanID
• bool using_covarianceID
• int meanID
• int covarianceID

[protected]

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

[protected]

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

[protected]

number of frames aligned (accumulated) to the covariance

[protected]

Dimension (same as the mean and covariance dimension)

[protected]

Was the gaussian loaded using indexes for mean

[protected]

Was the gaussian loaded using indexes for covariance

[protected]

The ID of the gaussian's mean

[protected]

The ID of the gaussian's covariance

Empty gaussian constructor

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

Copy constructor

Destructor

[const]

Returns the dimension of the gaussian

[const]

Returns the mean of the gaussian

[const]

Returns the covariance of the gaussian

Convert from accumulate to real mode

[const]

Returns the number of frames aligned to the gaussian

[const]

Returns the mahalanobis distance between the gaussian and a frame

[const]

Returns the mahalanobis distance between the gaussian and a frame

[const]

Returns the euclidian distance between the gaussian and a frame

Adds (accumulates) a frame to the gaussian

Set everything to zero and come back to accumulate mode

[const]

print function for operator <<

Reimplemented from Object.

Read function used for operator >>

Reimplemented from Object.