itk::VersorTransformOptimizer Class Reference

#include <itkVersorTransformOptimizer.h>

Inheritance diagram for itk::VersorTransformOptimizer:

Collaboration diagram for itk::VersorTransformOptimizer:

Detailed Description

Implement a gradient descent optimizer.

VersorTransformOptimizer is a variant of the gradient descent optimizer implmented in RegularStepGradientDescentOptimizer.

Versors are not in a vector space, for that reason, the classical gradient descent algorithm has to be modified in order to be applicable to Versors (unit quaternions) that form the group SO(3).

The Versor space has only three degrees of freedom, even though Versors are represented using four values.

This optimizer assumes that the CostFunction to be optimized has an itk::Versor as parameter.

See Also

RegularStepGradientDescentOptimizer

Versor

VersorTransform

Definition at line 51 of file itkVersorTransformOptimizer.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef VersorTransformOptimizer	Self
typedef RegularStepGradientDescentBaseOptimizer	Superclass
typedef VersorType::VectorType	VectorType
typedef Versor< double >	VersorType
Public Types inherited from itk::RegularStepGradientDescentBaseOptimizer
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef RegularStepGradientDescentBaseOptimizer	Self
enum	StopConditionType {   GradientMagnitudeTolerance = 1,   StepTooSmall = 2,   ImageNotAvailable = 3,   CostFunctionError = 4,   MaximumNumberOfIterations = 5,   Unknown = 6 }
typedef SingleValuedNonLinearOptimizer	Superclass
Public Types inherited from itk::SingleValuedNonLinearOptimizer
typedef SmartPointer< const Self >	ConstPointer
typedef CostFunctionType::Pointer	CostFunctionPointer
typedef SingleValuedCostFunction	CostFunctionType
typedef CostFunctionType::DerivativeType	DerivativeType
typedef CostFunctionType::MeasureType	MeasureType
typedef Superclass::ParametersType	ParametersType
typedef SmartPointer< Self >	Pointer
typedef SingleValuedNonLinearOptimizer	Self
typedef NonLinearOptimizer	Superclass
Public Types inherited from itk::NonLinearOptimizer
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::ParametersType	ParametersType
typedef SmartPointer< Self >	Pointer
typedef Superclass::ScalesType	ScalesType
typedef NonLinearOptimizer	Self
typedef Optimizer	Superclass
Public Types inherited from itk::Optimizer
typedef SmartPointer< const Self >	ConstPointer
typedef OptimizerParameters < double >	ParametersType
typedef SmartPointer< Self >	Pointer
typedef Array< double >	ScalesType
typedef Optimizer	Self
typedef Object	Superclass
Public Types inherited from itk::Object
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef Object	Self
typedef LightObject	Superclass
Public Types inherited from itk::LightObject
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef LightObject	Self

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const char *	GetNameOfClass () const
virtual void	StepAlongGradient (double factor, const DerivativeType &transformedGradient)
Public Member Functions inherited from itk::RegularStepGradientDescentBaseOptimizer
virtual const std::string	GetStopConditionDescription () const
void	ResumeOptimization (void)
void	StartOptimization (void)
void	StopOptimization (void)
virtual void	SetMaximize (bool _arg)
virtual const bool &	GetMaximize ()
virtual void	MaximizeOn ()
virtual void	MaximizeOff ()
bool	GetMinimize () const
void	SetMinimize (bool v)
void	MinimizeOn (void)
void	MinimizeOff (void)
virtual void	SetMaximumStepLength (double _arg)
virtual void	SetMinimumStepLength (double _arg)
virtual void	SetRelaxationFactor (double _arg)
virtual void	SetNumberOfIterations (SizeValueType _arg)
virtual void	SetGradientMagnitudeTolerance (double _arg)
virtual const double &	GetCurrentStepLength ()
virtual const double &	GetMaximumStepLength ()
virtual const double &	GetMinimumStepLength ()
virtual const double &	GetRelaxationFactor ()
virtual const SizeValueType &	GetNumberOfIterations ()
virtual const double &	GetGradientMagnitudeTolerance ()
virtual unsigned int	GetCurrentIteration () const
virtual const StopConditionType &	GetStopCondition ()
virtual const MeasureType &	GetValue ()
virtual const DerivativeType &	GetGradient ()
Public Member Functions inherited from itk::SingleValuedNonLinearOptimizer
virtual const CostFunctionType *	GetCostFunction () const
virtual CostFunctionType *	GetModifiableCostFunction ()
MeasureType	GetValue (const ParametersType &parameters) const
virtual void	SetCostFunction (CostFunctionType *costFunction)

Static Public Member Functions
static Pointer	New ()
Static Public Member Functions inherited from itk::RegularStepGradientDescentBaseOptimizer
static Pointer	New ()
Static Public Member Functions inherited from itk::SingleValuedNonLinearOptimizer
static Pointer	New ()
Static Public Member Functions inherited from itk::NonLinearOptimizer
static Pointer	New ()
Static Public Member Functions inherited from itk::Optimizer
static Pointer	New ()
Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static Pointer	New ()
static void	SetGlobalWarningDisplay (bool flag)
Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()
static Pointer	New ()

Protected Member Functions
	VersorTransformOptimizer ()
virtual	~VersorTransformOptimizer ()
Protected Member Functions inherited from itk::RegularStepGradientDescentBaseOptimizer
virtual void	AdvanceOneStep (void)
void	PrintSelf (std::ostream &os, Indent indent) const
	RegularStepGradientDescentBaseOptimizer ()
virtual void	StepAlongGradient (double, const DerivativeType &)
virtual	~RegularStepGradientDescentBaseOptimizer ()
Protected Member Functions inherited from itk::SingleValuedNonLinearOptimizer
void	PrintSelf (std::ostream &os, Indent indent) const
	SingleValuedNonLinearOptimizer ()
virtual	~SingleValuedNonLinearOptimizer ()
Protected Member Functions inherited from itk::NonLinearOptimizer
	NonLinearOptimizer ()
virtual	~NonLinearOptimizer ()
Protected Member Functions inherited from itk::Optimizer
	Optimizer ()
virtual void	SetCurrentPosition (const ParametersType &param)
virtual	~Optimizer ()
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
virtual	~Object ()
Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const
	LightObject ()
virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
virtual	~LightObject ()

Private Member Functions
void	operator= (const Self &)
	VersorTransformOptimizer (const Self &)

Additional Inherited Members
Protected Types inherited from itk::LightObject
typedef int	InternalReferenceCountType
Protected Attributes inherited from itk::RegularStepGradientDescentBaseOptimizer
SizeValueType	m_CurrentIteration
double	m_CurrentStepLength
DerivativeType	m_Gradient
double	m_GradientMagnitudeTolerance
bool	m_Maximize
double	m_MaximumStepLength
double	m_MinimumStepLength
SizeValueType	m_NumberOfIterations
DerivativeType	m_PreviousGradient
double	m_RelaxationFactor
bool	m_Stop
StopConditionType	m_StopCondition
std::ostringstream	m_StopConditionDescription
MeasureType	m_Value

Member Typedef Documentation

typedef SmartPointer< const Self > itk::VersorTransformOptimizer::ConstPointer

Definition at line 59 of file itkVersorTransformOptimizer.h.

typedef SmartPointer< Self > itk::VersorTransformOptimizer::Pointer

Definition at line 58 of file itkVersorTransformOptimizer.h.

typedef VersorTransformOptimizer itk::VersorTransformOptimizer::Self

Standard class typedefs.

Definition at line 56 of file itkVersorTransformOptimizer.h.

typedef RegularStepGradientDescentBaseOptimizer itk::VersorTransformOptimizer::Superclass

Definition at line 57 of file itkVersorTransformOptimizer.h.

typedef VersorType::VectorType itk::VersorTransformOptimizer::VectorType

Definition at line 70 of file itkVersorTransformOptimizer.h.

typedef Versor< double > itk::VersorTransformOptimizer::VersorType

Versor Type

Definition at line 66 of file itkVersorTransformOptimizer.h.

Constructor & Destructor Documentation

itk::VersorTransformOptimizer::VersorTransformOptimizer ( )

inlineprotected

Definition at line 77 of file itkVersorTransformOptimizer.h.

virtual itk::VersorTransformOptimizer::~VersorTransformOptimizer ( )

inlineprotectedvirtual

Definition at line 78 of file itkVersorTransformOptimizer.h.

itk::VersorTransformOptimizer::VersorTransformOptimizer ( const Self &  )

private

Member Function Documentation

virtual::itk::LightObject::Pointer itk::VersorTransformOptimizer::CreateAnother ( void  ) const

virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::RegularStepGradientDescentBaseOptimizer.

virtual const char* itk::VersorTransformOptimizer::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::RegularStepGradientDescentBaseOptimizer.

static Pointer itk::VersorTransformOptimizer::New ( )

static

Method for creation through the object factory.

void itk::VersorTransformOptimizer::operator= ( const Self &  )

private

virtual void itk::VersorTransformOptimizer::StepAlongGradient ( double  factor, const DerivativeType &  transformedGradient  )

virtual

Advance one step following the gradient direction.

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

• itkVersorTransformOptimizer.h