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/*=========================================================================
*
* 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 itkRegistrationParameterScalesFromJacobian_hxx
#define itkRegistrationParameterScalesFromJacobian_hxx
namespace itk
{
template <typename TMetric>
void
RegistrationParameterScalesFromJacobian<TMetric>::EstimateScales(ScalesType & parameterScales)
{
this->CheckAndSetInputs();
this->SetScalesSamplingStrategy();
this->SampleVirtualDomain();
const SizeValueType numPara = this->GetNumberOfLocalParameters();
parameterScales.SetSize(numPara);
ParametersType norms(numPara);
const auto numSamples = static_cast<const SizeValueType>(this->m_SamplePoints.size());
norms.Fill(typename ParametersType::ValueType{});
parameterScales.Fill(NumericTraits<typename ScalesType::ValueType>::OneValue());
// checking each sample point
for (SizeValueType c = 0; c < numSamples; ++c)
{
const VirtualPointType point = this->m_SamplePoints[c];
ParametersType squaredNorms(numPara);
this->ComputeSquaredJacobianNorms(point, squaredNorms);
norms = norms + squaredNorms;
} // for numSamples
if (numSamples > 0)
{
for (SizeValueType p = 0; p < numPara; ++p)
{
parameterScales[p] = norms[p] / numSamples;
}
}
}
template <typename TMetric>
auto
RegistrationParameterScalesFromJacobian<TMetric>::EstimateStepScale(const ParametersType & step) -> FloatType
{
this->CheckAndSetInputs();
this->SetStepScaleSamplingStrategy();
this->SampleVirtualDomain();
ScalesType sampleScales;
this->ComputeSampleStepScales(step, sampleScales);
const auto numSamples = static_cast<const SizeValueType>(this->m_SamplePoints.size());
FloatType scaleSum{};
// checking each sample point
for (SizeValueType c = 0; c < numSamples; ++c)
{
scaleSum += sampleScales[c];
}
return scaleSum / numSamples;
}
template <typename TMetric>
void
RegistrationParameterScalesFromJacobian<TMetric>::EstimateLocalStepScales(const ParametersType & step,
ScalesType & localStepScales)
{
if (!this->IsDisplacementFieldTransform())
{
itkExceptionMacro("EstimateLocalStepScales: the transform doesn't have local support.");
}
this->CheckAndSetInputs();
this->SetStepScaleSamplingStrategy();
this->SampleVirtualDomain();
ScalesType sampleScales;
this->ComputeSampleStepScales(step, sampleScales);
const auto numSamples = static_cast<const SizeValueType>(this->m_SamplePoints.size());
const SizeValueType numPara = this->GetNumberOfLocalParameters();
const SizeValueType numAllPara = this->GetTransform()->GetNumberOfParameters();
const SizeValueType numLocals = numAllPara / numPara;
localStepScales.SetSize(numLocals);
localStepScales.Fill(typename ScalesType::ValueType{});
// checking each sample point
for (SizeValueType c = 0; c < numSamples; ++c)
{
VirtualPointType & point = this->m_SamplePoints[c];
IndexValueType localId =
this->m_Metric->ComputeParameterOffsetFromVirtualPoint(point, NumericTraits<SizeValueType>::OneValue());
localStepScales[localId] = sampleScales[c];
}
}
template <typename TMetric>
void
RegistrationParameterScalesFromJacobian<TMetric>::ComputeSampleStepScales(const ParametersType & step,
ScalesType & sampleScales)
{
const auto numSamples = static_cast<const SizeValueType>(this->m_SamplePoints.size());
const SizeValueType dim = this->GetDimension();
const SizeValueType numPara = this->GetNumberOfLocalParameters();
sampleScales.SetSize(numSamples);
itk::Array<FloatType> dTdt(dim);
JacobianType jacobianCache;
JacobianType jacobian(dim,
(this->GetTransformForward() ? this->m_Metric->GetMovingTransform()->GetNumberOfParameters()
: this->m_Metric->GetFixedTransform()->GetNumberOfParameters()));
// checking each sample point
for (SizeValueType c = 0; c < numSamples; ++c)
{
const VirtualPointType & point = this->m_SamplePoints[c];
if (this->GetTransformForward())
{
this->m_Metric->GetMovingTransform()->ComputeJacobianWithRespectToParametersCachedTemporaries(
point, jacobian, jacobianCache);
}
else
{
this->m_Metric->GetFixedTransform()->ComputeJacobianWithRespectToParametersCachedTemporaries(
point, jacobian, jacobianCache);
}
if (!this->IsDisplacementFieldTransform())
{
dTdt = jacobian * step;
}
else
{
SizeValueType offset = this->m_Metric->ComputeParameterOffsetFromVirtualPoint(point, numPara);
ParametersType localStep(numPara);
for (SizeValueType p = 0; p < numPara; ++p)
{
localStep[p] = step[offset + p];
}
dTdt = jacobian * localStep;
}
sampleScales[c] = dTdt.two_norm();
}
}
template <typename TMetric>
void
RegistrationParameterScalesFromJacobian<TMetric>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
}
} // namespace itk
#endif /* itkRegistrationParameterScalesFromJacobian_hxx */
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