Creates StatisticalModel using Principal Component Analysis. More...

Inheritance diagram for statismo::PCAModelBuilder< T >:

Public Types
typedef ModelBuilder< T >	Superclass

typedef Superclass::DataManagerType	DataManagerType

typedef Superclass::StatisticalModelType	StatisticalModelType

typedef DataManagerType::DataItemListType	DataItemListType

Public Types inherited from statismo::ModelBuilder< T >
typedef Representer< T >	RepresenterType

typedef StatisticalModel< T >	StatisticalModelType

typedef DataManager< T >	DataManagerType

typedef DataManagerType::DataItemListType	DataItemListType

Public Member Functions
void	Delete ()

virtual	~PCAModelBuilder ()

StatisticalModelType *	BuildNewModel (const DataItemListType &samples, double noiseVariance, bool computeScores=true) const

Static Public Member Functions
static PCAModelBuilder *	Create ()

Additional Inherited Members
Static Public Attributes inherited from statismo::ModelBuilder< T >
static const double	TOLERANCE = 1e-5

Protected Member Functions inherited from statismo::ModelBuilder< T >
MatrixType	ComputeScores (const MatrixType &X, const StatisticalModelType *model) const

ModelInfo	CollectModelInfo () const

Detailed Description

Creates StatisticalModel using Principal Component Analysis.

This class implements the classical PCA based approach to Statistical Models.

Constructor & Destructor Documentation

template<typename T >

virtual statismo::PCAModelBuilder< T >::~PCAModelBuilder ( )

inlinevirtual

The desctructor

template<typename T >

PCAModelBuilder< T >::StatisticalModelType * statismo::PCAModelBuilder< T >::BuildNewModel	(	const DataItemListType &	samples,
		double	noiseVariance,
		bool	computeScores = `true`
	)		const

Build a new model from the training data provided in the dataManager.

Parameters

samples	A sampleSet holding the data
noiseVariance	The variance of N(0, noiseVariance) distributed noise on the points. If this parameter is set to 0, we have a standard PCA model. For values > 0 we have a PPCA model.
computeScores	Determines whether the scores (the pca coefficients of the examples) are computed and stored as model info (computing the scores may take a long time for large models).

Warning: The method allocates a new Statistical Model object, that needs to be deleted by the user.

template<typename T >

static PCAModelBuilder* statismo::PCAModelBuilder< T >::Create ( )

inlinestatic

Factory method to create a new PCAModelBuilder

template<typename T >

void statismo::PCAModelBuilder< T >::Delete ( )

inline

Destroy the object. The same effect can be achieved by deleting the object in the usual way using the c++ delete keyword.

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