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 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374
|
/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* 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.
*
*=========================================================================*/
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkAdvancedSimilarity3DTransform.txx,v $
Date: $Date: 2007-11-27 16:04:48 $
Version: $Revision: 1.9 $
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 _itkAdvancedSimilarity3DTransform_hxx
#define _itkAdvancedSimilarity3DTransform_hxx
#include "itkAdvancedSimilarity3DTransform.h"
#include <vnl/vnl_math.h>
#include <vnl/vnl_det.h>
namespace itk
{
// Constructor with default arguments
template <class TScalarType>
AdvancedSimilarity3DTransform<TScalarType>::AdvancedSimilarity3DTransform()
: Superclass(ParametersDimension)
{
m_Scale = 1.0;
this->PrecomputeJacobianOfSpatialJacobian();
}
// Constructor with arguments
template <class TScalarType>
AdvancedSimilarity3DTransform<TScalarType>::AdvancedSimilarity3DTransform(unsigned int outputSpaceDim,
unsigned int paramDim)
: Superclass(outputSpaceDim, paramDim)
{}
// Constructor with arguments
template <class TScalarType>
AdvancedSimilarity3DTransform<TScalarType>::AdvancedSimilarity3DTransform(const MatrixType & matrix,
const OutputVectorType & offset)
: Superclass(matrix, offset)
{}
// Set the scale factor
template <class TScalarType>
void
AdvancedSimilarity3DTransform<TScalarType>::SetScale(ScaleType scale)
{
m_Scale = scale;
this->ComputeMatrix();
this->ComputeOffset();
}
// Directly set the matrix
template <class TScalarType>
void
AdvancedSimilarity3DTransform<TScalarType>::SetMatrix(const MatrixType & matrix)
{
//
// Since the matrix should be an orthogonal matrix
// multiplied by the scale factor, then its determinant
// must be equal to the cube of the scale factor.
//
double det = vnl_det(matrix.GetVnlMatrix());
if (det == 0.0)
{
itkExceptionMacro("Attempting to set a matrix with a zero determinant");
}
//
// A negative scale is not acceptable
// It will imply a reflection of the coordinate system.
//
double s = std::cbrt(det);
//
// A negative scale is not acceptable
// It will imply a reflection of the coordinate system.
//
if (s <= 0.0)
{
itkExceptionMacro("Attempting to set a matrix with a negative trace");
}
MatrixType testForOrthogonal = matrix;
testForOrthogonal /= s;
const double tolerance = 1e-10;
if (!this->MatrixIsOrthogonal(testForOrthogonal, tolerance))
{
itkExceptionMacro("Attempting to set a non-orthogonal matrix (after removing scaling)");
}
using Baseclass = AdvancedMatrixOffsetTransformBase<TScalarType, 3>;
this->Baseclass::SetMatrix(matrix);
this->PrecomputeJacobianOfSpatialJacobian();
}
// Set Parameters
template <class TScalarType>
void
AdvancedSimilarity3DTransform<TScalarType>::SetParameters(const ParametersType & parameters)
{
itkDebugMacro("Setting parameters " << parameters);
// Transfer the versor part
AxisType axis;
double norm = parameters[0] * parameters[0];
axis[0] = parameters[0];
norm += parameters[1] * parameters[1];
axis[1] = parameters[1];
norm += parameters[2] * parameters[2];
axis[2] = parameters[2];
if (norm > 0)
{
norm = std::sqrt(norm);
}
double epsilon = 1e-10;
if (norm >= 1.0 - epsilon)
{
axis = axis / (norm + epsilon * norm);
}
VersorType newVersor;
newVersor.Set(axis);
this->SetVarVersor(newVersor);
m_Scale = parameters[6]; // must be set before calling ComputeMatrix();
this->ComputeMatrix();
itkDebugMacro("Versor is now " << this->GetVersor());
// Transfer the translation part
TranslationType newTranslation;
newTranslation[0] = parameters[3];
newTranslation[1] = parameters[4];
newTranslation[2] = parameters[5];
this->SetVarTranslation(newTranslation);
this->ComputeOffset();
// Modified is always called since we just have a pointer to the
// parameters and cannot know if the parameters have changed.
this->Modified();
itkDebugMacro("After setting parameters ");
}
//
// Get Parameters
//
// Parameters are ordered as:
//
// p[0:2] = right part of the versor (axis times std::sin(t/2))
// p[3:5} = translation components
// p[6:6} = scaling factor (isotropic)
//
template <class TScalarType>
auto
AdvancedSimilarity3DTransform<TScalarType>::GetParameters() const -> const ParametersType &
{
itkDebugMacro("Getting parameters ");
this->m_Parameters[0] = this->GetVersor().GetX();
this->m_Parameters[1] = this->GetVersor().GetY();
this->m_Parameters[2] = this->GetVersor().GetZ();
// Transfer the translation
this->m_Parameters[3] = this->GetTranslation()[0];
this->m_Parameters[4] = this->GetTranslation()[1];
this->m_Parameters[5] = this->GetTranslation()[2];
this->m_Parameters[6] = this->GetScale();
itkDebugMacro("After getting parameters " << this->m_Parameters);
return this->m_Parameters;
}
// Set parameters
template <class TScalarType>
void
AdvancedSimilarity3DTransform<TScalarType>::GetJacobian(const InputPointType & p,
JacobianType & j,
NonZeroJacobianIndicesType & nzji) const
{
// Initialize the Jacobian. Resizing is only performed when needed.
// Filling with zeros is needed because the lower loops only visit
// the nonzero positions.
j.set_size(OutputSpaceDimension, ParametersDimension);
j.fill(0.0);
// Some helper variables
const InputVectorType pp = p - this->GetCenter();
const JacobianOfSpatialJacobianType & jsj = this->m_JacobianOfSpatialJacobian;
/** Compute dR/dmu * (p-c) */
for (unsigned int dim = 0; dim < SpaceDimension; ++dim)
{
const InputVectorType column = jsj[dim] * pp;
for (unsigned int i = 0; i < SpaceDimension; ++i)
{
j(i, dim) = column[i];
}
}
// compute Jacobian with respect to the translation parameters
j[0][3] = 1.0;
j[1][4] = 1.0;
j[2][5] = 1.0;
// compute Jacobian with respect to the scale parameter
const MatrixType & matrix = this->GetMatrix();
const InputVectorType mpp = matrix * pp;
j[0][6] = mpp[0] / m_Scale;
j[1][6] = mpp[1] / m_Scale;
j[2][6] = mpp[2] / m_Scale;
// Copy the constant nonZeroJacobianIndices
nzji = this->m_NonZeroJacobianIndices;
}
// Set the scale factor
template <class TScalarType>
void
AdvancedSimilarity3DTransform<TScalarType>::ComputeMatrix()
{
this->Superclass::ComputeMatrix();
MatrixType newMatrix = this->GetMatrix();
newMatrix *= m_Scale;
this->SetVarMatrix(newMatrix);
this->PrecomputeJacobianOfSpatialJacobian();
}
/** Compute the matrix */
template <class TScalarType>
void
AdvancedSimilarity3DTransform<TScalarType>::ComputeMatrixParameters()
{
MatrixType matrix = this->GetMatrix();
m_Scale = std::cbrt(vnl_det(matrix.GetVnlMatrix()));
matrix /= m_Scale;
VersorType v;
v.Set(matrix);
this->SetVarVersor(v);
this->PrecomputeJacobianOfSpatialJacobian();
}
// Precompute Jacobian of Spatial Jacobian
template <class TScalarType>
void
AdvancedSimilarity3DTransform<TScalarType>::PrecomputeJacobianOfSpatialJacobian()
{
static_assert(ParametersDimension >= 7);
/** The Jacobian of spatial Jacobian remains constant, so is precomputed */
JacobianOfSpatialJacobianType & jsj = this->m_JacobianOfSpatialJacobian;
jsj.resize(ParametersDimension);
using ValueType = typename VersorType::ValueType;
// compute derivatives with respect to rotation
const ValueType vx = this->GetVersor().GetX();
const ValueType vy = this->GetVersor().GetY();
const ValueType vz = this->GetVersor().GetZ();
const ValueType vw = this->GetVersor().GetW();
const double vxx = vx * vx;
const double vyy = vy * vy;
const double vzz = vz * vz;
const double vww = vw * vw;
const double vxy = vx * vy;
const double vxz = vx * vz;
const double vxw = vx * vw;
const double vyz = vy * vz;
const double vyw = vy * vw;
const double vzw = vz * vw;
jsj[0](0, 0) = 0.0;
jsj[0](0, 1) = vyw + vxz;
jsj[0](0, 2) = vzw - vxy;
jsj[0](1, 0) = vyw - vxz;
jsj[0](1, 1) = -2.0 * vxw;
jsj[0](1, 2) = vxx - vww;
jsj[0](2, 0) = vzw + vxy;
jsj[0](2, 1) = vww - vxx;
jsj[0](2, 2) = -2.0 * vxw;
jsj[0] *= (this->m_Scale * 2.0 / vw);
jsj[1](0, 0) = -2.0 * vyw;
jsj[1](0, 1) = vxw + vyz;
jsj[1](0, 2) = vww - vyy;
jsj[1](1, 0) = vxw - vyz;
jsj[1](1, 1) = 0.0;
jsj[1](1, 2) = vzw + vxy;
jsj[1](2, 0) = vyy - vww;
jsj[1](2, 1) = vzw - vxy;
jsj[1](2, 2) = -2.0 * vyw;
jsj[1] *= (this->m_Scale * 2.0 / vw);
jsj[2](0, 0) = -2.0 * vzw;
jsj[2](0, 1) = vzz - vw;
jsj[2](0, 2) = vxw - vyz;
jsj[2](1, 0) = vww - vzz;
jsj[2](1, 1) = -2.0 * vzw;
jsj[2](1, 2) = vyw + vxz;
jsj[2](2, 0) = vxw + vyz;
jsj[2](2, 1) = vyw - vxz;
jsj[2](2, 2) = 0.0;
jsj[2] *= (this->m_Scale * 2.0 / vw);
for (unsigned int par = 3; par < 7; ++par)
{
jsj[par].Fill(0.0);
}
if (std::abs(this->m_Scale) > 0)
{
jsj[6] = this->GetMatrix().GetVnlMatrix() / this->m_Scale;
}
}
// Print self
template <class TScalarType>
void
AdvancedSimilarity3DTransform<TScalarType>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Scale = " << m_Scale << std::endl;
}
} // namespace itk
#endif
|