18#ifndef itkIdentityTransform_h
19#define itkIdentityTransform_h
24#include "vnl/vnl_vector_fixed.h"
49template <
typename TParametersValueType,
unsigned int VDimension = 3>
68 static constexpr unsigned int InputSpaceDimension = VDimension;
69 static constexpr unsigned int OutputSpaceDimension = VDimension;
116 using Superclass::TransformVector;
131 using Superclass::TransformCovariantVector;
132 OutputCovariantVectorType
177 jacobian.
SetSize(VDimension, 0);
191 using Superclass::ComputeJacobianWithRespectToPosition;
198 return (inverseTransform !=
nullptr);
203 InverseTransformBasePointer
206 return this->
New().GetPointer();
214 TransformCategoryEnum
217 return Self::TransformCategoryEnum::Linear;
221 const FixedParametersType &
224 return this->m_FixedParameters;
233 const ParametersType &
236 return this->m_Parameters;
Array2D class representing a 2D array.
void SetSize(unsigned int m, unsigned int n)
A templated class holding a n-Dimensional covariant vector.
Class to hold and manage different parameter types used during optimization.
A templated class holding a geometric point in n-Dimensional space.
A templated class holding a n-Dimensional vector.
SmartPointer< Self > Pointer
The "itk" namespace contains all Insight Segmentation and Registration Toolkit (ITK) classes....
*par Constraints *The filter image with at least two dimensions and a vector *length of at least The theory supports extension to scalar but *the implementation of the itk vector classes do not **The template parameter TRealType must be floating point(float or double) or *a user-defined "real" numerical type with arithmetic operations defined *sufficient to compute derivatives. **\par Performance *This filter will automatically multithread if run with *SetUsePrincipleComponents