statismo::LowRankGPModelBuilder< T > Class Template Reference

#include <LowRankGPModelBuilder.h>

Inheritance diagram for statismo::LowRankGPModelBuilder< T >:

Public Types
typedef Representer< T >	RepresenterType
typedef RepresenterType::PointType	PointType
typedef ModelBuilder< T >	Superclass
typedef Superclass::StatisticalModelType	StatisticalModelType
typedef Domain< PointType >	DomainType
typedef DomainType::DomainPointsListType	DomainPointsListType
typedef MatrixValuedKernel < PointType >	MatrixValuedKernelType
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	~LowRankGPModelBuilder ()
StatisticalModelType *	BuildNewZeroMeanModel (const MatrixValuedKernelType &kernel, unsigned numComponents, unsigned numPointsForNystrom=500) const
StatisticalModelType *	BuildNewModel (typename RepresenterType::DatasetConstPointerType mean, const MatrixValuedKernelType &kernel, unsigned numComponents, unsigned numPointsForNystrom=500) const

Static Public Member Functions
static LowRankGPModelBuilder *	Create (const RepresenterType *representer)

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

template<typename T>
class statismo::LowRankGPModelBuilder< T >

A model builder for building statistical models that are specified by an arbitrary Gaussian Process. For details on the theoretical basis for this type of model builder, see the paper

A unified approach to shape model fitting and non-rigid registration Marcel Lüthi, Christoph Jud and Thomas Vetter IN: Proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, LNCS 8184, pp.66-73 Nagoya, Japan, September 2013

Constructor & Destructor Documentation

template<typename T >

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

inlinevirtual

The desctructor

Member Function Documentation

template<typename T >

StatisticalModelType* statismo::LowRankGPModelBuilder< T >::BuildNewModel ( typename RepresenterType::DatasetConstPointerType  mean, const MatrixValuedKernelType &  kernel, unsigned  numComponents, unsigned  numPointsForNystrom = 500  ) const

inline

Build a new model using a Gaussian process with given mean and kernel.

Parameters

mean	A dataset that represents the mean (shape or deformation)
kernel	A kernel (or covariance) function
numComponents	The number of components used for the low rank approximation.
numPointsForNystrom	The number of points used for the Nystrom approximation

Returns

a new statistical model representing the given Gaussian process

template<typename T >

StatisticalModelType* statismo::LowRankGPModelBuilder< T >::BuildNewZeroMeanModel ( const MatrixValuedKernelType &  kernel, unsigned  numComponents, unsigned  numPointsForNystrom = 500  ) const

inline

Build a new model using a zero-mean Gaussian process with given kernel.

Parameters

kernel	A kernel (or covariance) function
numComponents	The number of components used for the low rank approximation.
numPointsForNystrom	The number of points used for the Nystrom approximation

Returns

a new statistical model representing the given Gaussian process

template<typename T >

static LowRankGPModelBuilder* statismo::LowRankGPModelBuilder< T >::Create ( const RepresenterType *  representer )

inlinestatic

Factory method to create a new ModelBuilder

template<typename T >

void statismo::LowRankGPModelBuilder< 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.

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

• LowRankGPModelBuilder.h