ITK  5.0.0
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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 52 of file itkVersorTransformOptimizer.h.

Public Types

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

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual const char * GetNameOfClass () const
 
void StepAlongGradient (double factor, const DerivativeType &transformedGradient) override
 
- Public Member Functions inherited from itk::RegularStepGradientDescentBaseOptimizer
const std::string GetStopConditionDescription () const override
 
void ResumeOptimization ()
 
void StartOptimization () override
 
void StopOptimization ()
 
virtual void SetMaximize (bool _arg)
 
virtual const bool & GetMaximize () const
 
virtual void MaximizeOn ()
 
virtual void MaximizeOff ()
 
bool GetMinimize () const
 
void SetMinimize (bool v)
 
void MinimizeOn ()
 
void MinimizeOff ()
 
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 () const
 
virtual const double & GetMaximumStepLength () const
 
virtual const double & GetMinimumStepLength () const
 
virtual const double & GetRelaxationFactor () const
 
virtual const SizeValueTypeGetNumberOfIterations () const
 
virtual const double & GetGradientMagnitudeTolerance () const
 
virtual unsigned int GetCurrentIteration () const
 
virtual const StopConditionTypeGetStopCondition () const
 
virtual const MeasureTypeGetValue () const
 
virtual const DerivativeTypeGetGradient () const
 
- Public Member Functions inherited from itk::SingleValuedNonLinearOptimizer
virtual const CostFunctionTypeGetCostFunction () const
 
virtual CostFunctionTypeGetModifiableCostFunction ()
 
MeasureType GetValue (const ParametersType &parameters) const
 
virtual void SetCostFunction (CostFunctionType *costFunction)
 
- Public Member Functions inherited from itk::Optimizer
virtual const ParametersTypeGetCurrentPosition () const
 
virtual const ParametersTypeGetInitialPosition () const
 
virtual void SetInitialPosition (const ParametersType &param)
 
void SetScales (const ScalesType &scales)
 
virtual const ScalesTypeGetScales () const
 
virtual const ScalesTypeGetInverseScales () const
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
virtual void Modified () const
 
void Register () const override
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetReferenceCount (int) override
 
void UnRegister () const noexceptoverride
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
void SetMetaDataDictionary (MetaDataDictionary &&rrhs)
 
virtual void SetObjectName (std::string _arg)
 
virtual const std::string & GetObjectName () const
 
- Public Member Functions inherited from itk::LightObject
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

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

Additional Inherited Members

- 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 {false}
 
StopConditionType m_StopCondition
 
std::ostringstream m_StopConditionDescription
 
MeasureType m_Value
 
- Protected Attributes inherited from itk::SingleValuedNonLinearOptimizer
CostFunctionPointer m_CostFunction
 
- Protected Attributes inherited from itk::Optimizer
ParametersType m_CurrentPosition
 
bool m_ScalesInitialized { false }
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount
 

Member Typedef Documentation

Definition at line 62 of file itkVersorTransformOptimizer.h.

Definition at line 61 of file itkVersorTransformOptimizer.h.

Standard class type aliases.

Definition at line 59 of file itkVersorTransformOptimizer.h.

Definition at line 60 of file itkVersorTransformOptimizer.h.

Definition at line 73 of file itkVersorTransformOptimizer.h.

Versor Type

Definition at line 72 of file itkVersorTransformOptimizer.h.

Constructor & Destructor Documentation

itk::VersorTransformOptimizer::VersorTransformOptimizer ( )
protecteddefault
itk::VersorTransformOptimizer::~VersorTransformOptimizer ( )
overrideprotecteddefault

Member Function Documentation

virtual::itk::LightObject::Pointer itk::VersorTransformOptimizer::CreateAnother ( ) 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::StepAlongGradient ( double  factor,
const DerivativeType transformedGradient 
)
override

Advance one step following the gradient direction.


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