/*========================================================================= * * Copyright NumFOCUS * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * https://www.apache.org/licenses/LICENSE-2.0.txt * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * *=========================================================================*/ #ifndef itkThinPlateR2LogRSplineKernelTransform_hxx #define itkThinPlateR2LogRSplineKernelTransform_hxx namespace itk { template void ThinPlateR2LogRSplineKernelTransform::ComputeG(const InputVectorType & x, GMatrixType & gmatrix) const { const TParametersValueType r = x.GetNorm(); gmatrix.fill(TParametersValueType{}); const TParametersValueType R2logR = (r > 1e-8) ? r * r * std::log(r) : TParametersValueType{}; gmatrix.fill_diagonal(R2logR); } template void ThinPlateR2LogRSplineKernelTransform::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 TParametersValueType r = position.GetNorm(); const TParametersValueType R2logR = (r > 1e-8) ? r * r * std::log(r) : TParametersValueType{}; for (unsigned int odim = 0; odim < VDimension; ++odim) { result[odim] += R2logR * this->m_DMatrix(odim, lnd); } ++sp; } } } // namespace itk #endif