/usr/include/InsightToolkit/Common/itkThinPlateR2LogRSplineKernelTransform.txx is in libinsighttoolkit3-dev 3.20.1-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | /*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkThinPlateR2LogRSplineKernelTransform.txx
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkThinPlateR2LogRSplineKernelTransform_txx
#define __itkThinPlateR2LogRSplineKernelTransform_txx
#include "itkThinPlateR2LogRSplineKernelTransform.h"
namespace itk
{
/**
* This method has been deprecated as of ITK 3.6.
* Please use the method: void ComputeG(vector,gmatrix) instead.
*/
#if !defined(ITK_LEGACY_REMOVE)
template <class TScalarType, unsigned int NDimensions>
const typename ThinPlateR2LogRSplineKernelTransform<TScalarType, NDimensions>::GMatrixType &
ThinPlateR2LogRSplineKernelTransform<TScalarType, NDimensions>::
ComputeG( const InputVectorType & ) const
{
itkLegacyReplaceBodyMacro(itkThinPlateR2LogRSplineKernelTransform::ComputeG_vector,
3.6,itkThinPlateR2LogRSplineKernelTransform::ComputeG_vector_gmatrix);
return this->m_GMatrix;
}
#endif
template <class TScalarType, unsigned int NDimensions>
void
ThinPlateR2LogRSplineKernelTransform<TScalarType, NDimensions>::
ComputeG(const InputVectorType & x, GMatrixType & gmatrix) const
{
const TScalarType r = x.GetNorm();
gmatrix.fill( NumericTraits< TScalarType >::Zero );
const TScalarType R2logR =
( r > 1e-8 )? r * r * vcl_log(r ) : NumericTraits<TScalarType>::Zero;
gmatrix.fill_diagonal( R2logR );
}
template <class TScalarType, unsigned int NDimensions>
void
ThinPlateR2LogRSplineKernelTransform<TScalarType, NDimensions>::
ComputeDeformationContribution( const InputPointType & thisPoint,
OutputPointType & result ) const
{
unsigned long numberOfLandmarks = this->m_SourceLandmarks->GetNumberOfPoints();
PointsIterator sp = this->m_SourceLandmarks->GetPoints()->Begin();
for(unsigned int lnd=0; lnd < numberOfLandmarks; lnd++ )
{
InputVectorType position = thisPoint - sp->Value();
const TScalarType r = position.GetNorm();
const TScalarType R2logR =
( r > 1e-8 )? r * r * vcl_log(r ) : NumericTraits<TScalarType>::Zero;
for(unsigned int odim=0; odim < NDimensions; odim++ )
{
result[ odim ] += R2logR * this->m_DMatrix(odim,lnd);
}
++sp;
}
}
} // namespace itk
#endif
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