File: itkQuaternionRigidTransformGradientDescentOptimizer.cxx

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/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkQuaternionRigidTransformGradientDescentOptimizer.cxx,v $
  Language:  C++
  Date:      $Date: 2007-03-29 19:37:01 $
  Version:   $Revision: 1.16 $

  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 _itkQuaternionRigidTransformGradientDescentOptimizer_txx
#define _itkQuaternionRigidTransformGradientDescentOptimizer_txx

#include "itkQuaternionRigidTransformGradientDescentOptimizer.h"
#include "vnl/vnl_quaternion.h"
#include "itkEventObject.h"

namespace itk
{

/**
 * Advance one Step following the gradient direction
 */
void
QuaternionRigidTransformGradientDescentOptimizer
::AdvanceOneStep( void )
{ 

  double direction;
  if( m_Maximize ) 
    {
    direction = 1.0;
    }
  else 
    {
    direction = -1.0;
    }


  ScalesType scales = this->GetScales();

  const unsigned int spaceDimension =  m_CostFunction->GetNumberOfParameters();

  // Make sure the scales have been set
  if (scales.size() != spaceDimension)
    {
    itkExceptionMacro(<< "The size of Scales is "
                      << scales.size()
                      << ", but the NumberOfParameters is "
                      << spaceDimension
                      << ".");
    }

  DerivativeType transformedGradient( spaceDimension);
  for ( unsigned int i=0; i< spaceDimension; i++)
    {
    transformedGradient[i] = m_Gradient[i] / scales[i];
    }

  ParametersType currentPosition = this->GetCurrentPosition();

  // compute new quaternion value
  vnl_quaternion<double> newQuaternion;
  for ( unsigned int j=0; j < 4; j++ )
    {
    newQuaternion[j] = currentPosition[j] + direction * m_LearningRate *
      transformedGradient[j];
    }

  newQuaternion.normalize();

  ParametersType newPosition( spaceDimension );
  // update quaternion component of currentPosition
  for ( unsigned int j=0; j < 4; j++ )
    {
    newPosition[j] = newQuaternion[j];
    }
  
  // update the translation component
  for (unsigned int j=4; j< spaceDimension; j++)
    {
    newPosition[j] = currentPosition[j] + 
      direction * m_LearningRate * transformedGradient[j];
    }


  // First invoke the event, so the current position
  // still corresponds to the metric values.
  this->InvokeEvent( IterationEvent() );

  this->SetCurrentPosition( newPosition );
}

} // end namespace itk

#endif