itkCompositeTransform.h

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/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  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
 *
 *         http://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 itkCompositeTransform_h
#define itkCompositeTransform_h

#include "itkMultiTransform.h"

#include <deque>

namespace itk
{

template<typename TParametersValueType=double, unsigned int NDimensions = 3>
class CompositeTransform :
  public MultiTransform<TParametersValueType, NDimensions, NDimensions>
{
public:
  typedef CompositeTransform                                              Self;
  typedef MultiTransform<TParametersValueType, NDimensions, NDimensions> Superclass;
  typedef SmartPointer<Self>                                              Pointer;
  typedef SmartPointer<const Self>                                        ConstPointer;

  itkTypeMacro( CompositeTransform, Transform );

  itkNewMacro( Self );

  typedef typename Superclass::TransformType                TransformType;
  typedef typename Superclass::TransformTypePointer         TransformTypePointer;

  typedef typename Superclass::InverseTransformBasePointer  InverseTransformBasePointer;

  typedef typename Superclass::ScalarType                 ScalarType;

  typedef typename Superclass::FixedParametersType        FixedParametersType;
  typedef typename Superclass::FixedParametersValueType   FixedParametersValueType;
  typedef typename Superclass::ParametersType             ParametersType;
  typedef typename Superclass::ParametersValueType        ParametersValueType;

  typedef typename Superclass::DerivativeType             DerivativeType;

  typedef typename Superclass::JacobianType               JacobianType;

  typedef typename Superclass::TransformCategoryType      TransformCategoryType;

  typedef typename Superclass::InputPointType             InputPointType;
  typedef typename Superclass::OutputPointType            OutputPointType;

  typedef typename Superclass::InputVectorType            InputVectorType;
  typedef typename Superclass::OutputVectorType           OutputVectorType;

  typedef typename Superclass::InputCovariantVectorType   InputCovariantVectorType;
  typedef typename Superclass::OutputCovariantVectorType  OutputCovariantVectorType;

  typedef typename Superclass::InputVnlVectorType         InputVnlVectorType;
  typedef typename Superclass::OutputVnlVectorType        OutputVnlVectorType;

  typedef typename Superclass::InputVectorPixelType       InputVectorPixelType;
  typedef typename Superclass::OutputVectorPixelType      OutputVectorPixelType;

  typedef typename Superclass::InputDiffusionTensor3DType  InputDiffusionTensor3DType;
  typedef typename Superclass::OutputDiffusionTensor3DType OutputDiffusionTensor3DType;

  typedef typename Superclass::InputSymmetricSecondRankTensorType   InputSymmetricSecondRankTensorType;
  typedef typename Superclass::OutputSymmetricSecondRankTensorType  OutputSymmetricSecondRankTensorType;

  typedef typename Superclass::TransformQueueType         TransformQueueType;

  typedef typename Superclass::NumberOfParametersType     NumberOfParametersType;

  typedef std::deque<bool>                                TransformsToOptimizeFlagsType;

  itkStaticConstMacro( InputDimension, unsigned int, NDimensions );
  itkStaticConstMacro( OutputDimension, unsigned int, NDimensions );

  virtual void SetNthTransformToOptimize( SizeValueType i, bool state )
  {
    this->m_TransformsToOptimizeFlags.at(i) = state;
    this->Modified();
  }

  virtual void SetNthTransformToOptimizeOn( SizeValueType i )
  {
    this->SetNthTransformToOptimize( i, true );
  }

  virtual void SetNthTransformToOptimizeOff( SizeValueType i )
  {
    this->SetNthTransformToOptimize( i, false );
  }

  virtual void SetAllTransformsToOptimize( bool state )
  {
    this->m_TransformsToOptimizeFlags.assign(
      this->m_TransformsToOptimizeFlags.size(), state );
    this->Modified();
  }

  virtual void SetAllTransformsToOptimizeOn()
  {
    this->SetAllTransformsToOptimize( true );
  }

  virtual void SetAllTransformsToOptimizeOff()
  {
    this->SetAllTransformsToOptimize( false );
  }

  /* With AddTransform() as the only way to add a transform, we
   * can have this method to easily allow user to optimize only
   * the transform added most recenlty. */
  virtual void SetOnlyMostRecentTransformToOptimizeOn()
  {
    this->SetAllTransformsToOptimize( false );
    this->SetNthTransformToOptimizeOn( this->GetNumberOfTransforms() - 1 );
  }

  /* Get whether the Nth transform is set to be optimzied */
  /* NOTE: ambiguous function name here - are we getting if the Nth transform
      is set to be optimized, or the Nth of the transforms that are set to be
      optimized? */
  virtual bool GetNthTransformToOptimize( SizeValueType i ) const
  {
    return this->m_TransformsToOptimizeFlags.at(i);
  }

  virtual const TransformsToOptimizeFlagsType & GetTransformsToOptimizeFlags() const
  {
    return this->m_TransformsToOptimizeFlags;
  }

  virtual void ClearTransformQueue() ITK_OVERRIDE
  {
    Superclass::ClearTransformQueue();
    this->m_TransformsToOptimizeFlags.clear();
  }

  bool GetInverse( Self *inverse ) const;

  virtual InverseTransformBasePointer GetInverseTransform() const ITK_OVERRIDE;

  virtual OutputPointType TransformPoint( const InputPointType & inputPoint ) const ITK_OVERRIDE;

  using Superclass::TransformVector;
  virtual OutputVectorType TransformVector(const InputVectorType &) const ITK_OVERRIDE;

  virtual OutputVnlVectorType TransformVector(const InputVnlVectorType & inputVector) const ITK_OVERRIDE;

  virtual OutputVectorPixelType TransformVector(const InputVectorPixelType & inputVector ) const ITK_OVERRIDE;

  virtual OutputVectorType TransformVector(const InputVectorType & inputVector,
                                           const InputPointType & inputPoint ) const ITK_OVERRIDE;

  virtual OutputVnlVectorType TransformVector(const InputVnlVectorType & inputVector,
                                              const InputPointType & inputPoint ) const ITK_OVERRIDE;

  virtual OutputVectorPixelType TransformVector(const InputVectorPixelType & inputVector,
                                                const InputPointType & inputPoint ) const ITK_OVERRIDE;

  using Superclass::TransformCovariantVector;
  virtual OutputCovariantVectorType TransformCovariantVector(const InputCovariantVectorType &) const ITK_OVERRIDE;

  virtual OutputVectorPixelType TransformCovariantVector(const InputVectorPixelType &) const ITK_OVERRIDE;

  virtual OutputCovariantVectorType TransformCovariantVector(const InputCovariantVectorType & inputVector,
                                                             const InputPointType & inputPoint ) const ITK_OVERRIDE;

  virtual OutputVectorPixelType TransformCovariantVector(const InputVectorPixelType & inputVector,
                                                         const InputPointType & inputPoint ) const ITK_OVERRIDE;

  using Superclass::TransformDiffusionTensor3D;
  virtual OutputDiffusionTensor3DType TransformDiffusionTensor3D(
    const InputDiffusionTensor3DType & inputTensor) const ITK_OVERRIDE;

  virtual OutputVectorPixelType TransformDiffusionTensor3D(
    const InputVectorPixelType & inputTensor) const ITK_OVERRIDE;

  virtual OutputDiffusionTensor3DType TransformDiffusionTensor3D(
    const InputDiffusionTensor3DType & inputTensor,
    const InputPointType & inputPoint ) const ITK_OVERRIDE;

  virtual OutputVectorPixelType TransformDiffusionTensor3D(
    const InputVectorPixelType & inputTensor,
    const InputPointType & inputPoint ) const ITK_OVERRIDE;

  using Superclass::TransformSymmetricSecondRankTensor;
  virtual OutputSymmetricSecondRankTensorType TransformSymmetricSecondRankTensor(
    const InputSymmetricSecondRankTensorType & inputTensor) const ITK_OVERRIDE;

  virtual OutputVectorPixelType TransformSymmetricSecondRankTensor(
    const InputVectorPixelType & inputTensor) const ITK_OVERRIDE;

  virtual OutputSymmetricSecondRankTensorType TransformSymmetricSecondRankTensor(
    const InputSymmetricSecondRankTensorType & inputTensor,
    const InputPointType & inputPoint ) const ITK_OVERRIDE;

  virtual OutputVectorPixelType TransformSymmetricSecondRankTensor(
    const InputVectorPixelType & inputTensor,
    const InputPointType & inputPoint ) const ITK_OVERRIDE;

  virtual TransformCategoryType GetTransformCategory() const ITK_OVERRIDE;

  virtual const ParametersType & GetParameters() const ITK_OVERRIDE;

  /* SetParameters only for transforms that are set to be optimized
   * See GetParameters() for parameter ordering. */
  virtual void  SetParameters(const ParametersType & p) ITK_OVERRIDE;

  /* GetFixedParameters only for transforms that are set to be optimized
   * See GetParameters() for parameter ordering. */
  virtual const FixedParametersType & GetFixedParameters() const ITK_OVERRIDE;

  /* SetFixedParameters only for transforms that are set to be optimized.
   * See GetParameters() for parameter ordering. */
  virtual void  SetFixedParameters(const FixedParametersType & fixedParameters) ITK_OVERRIDE;

  /* Get total number of parameters for transforms that are set to be
   * optimized */
  virtual NumberOfParametersType GetNumberOfParameters(void) const ITK_OVERRIDE;

  /* Get total number of local parameters for transforms that are set
   * to be optimized */
  virtual NumberOfParametersType GetNumberOfLocalParameters(void) const ITK_OVERRIDE;

  /* Get total number of fixed parameters for transforms that are set
   * to be optimized */
  virtual NumberOfParametersType GetNumberOfFixedParameters(void) const ITK_OVERRIDE;

  virtual void UpdateTransformParameters( const DerivativeType & update, ScalarType factor = 1.0 ) ITK_OVERRIDE;

  virtual void FlattenTransformQueue();

  virtual void ComputeJacobianWithRespectToParameters(const InputPointType  & p, JacobianType & j) const ITK_OVERRIDE;

  virtual void ComputeJacobianWithRespectToParametersCachedTemporaries( const InputPointType & p, JacobianType & outJacobian, JacobianType & jacobianWithRespectToPosition ) const ITK_OVERRIDE;

protected:
  CompositeTransform();
  virtual ~CompositeTransform();
  virtual void PrintSelf( std::ostream& os, Indent indent ) const ITK_OVERRIDE;

  virtual typename LightObject::Pointer InternalClone() const ITK_OVERRIDE;

  virtual void PushFrontTransform( TransformTypePointer t  ) ITK_OVERRIDE
  {
    Superclass::PushFrontTransform( t );
    /* Add element to list of flags, and set true by default */
    this->m_TransformsToOptimizeFlags.push_front( true );
  }

  virtual void PushBackTransform( TransformTypePointer t  ) ITK_OVERRIDE
  {
    Superclass::PushBackTransform( t );
    /* Add element to list of flags, and set true by default */
    this->m_TransformsToOptimizeFlags.push_back( true );
  }

  virtual void PopFrontTransform() ITK_OVERRIDE
  {
    Superclass::PopFrontTransform();
    this->m_TransformsToOptimizeFlags.pop_front();
  }

  virtual void PopBackTransform() ITK_OVERRIDE
  {
    Superclass::PopBackTransform();
    this->m_TransformsToOptimizeFlags.pop_back();
  }

  TransformQueueType & GetTransformsToOptimizeQueue() const;

  mutable TransformQueueType            m_TransformsToOptimizeQueue;
  mutable TransformsToOptimizeFlagsType m_TransformsToOptimizeFlags;

private:
  CompositeTransform( const Self & ) ITK_DELETE_FUNCTION;
  void operator=( const Self & ) ITK_DELETE_FUNCTION;

  mutable ModifiedTimeType m_PreviousTransformsToOptimizeUpdateTime;

};

} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkCompositeTransform.hxx"
#endif

#endif // itkCompositeTransform_h