Package gov.nih.mipav.view.renderer.WildMagic.AAM

Class CAAMOptimize

java.lang.Object
gov.nih.mipav.view.renderer.WildMagic.AAM.CAAMOptimize
All Implemented Interfaces:
CDOptimizeFuncBase
public class CAAMOptimize extends Object implements CDOptimizeFuncBase
This is the Java modified version of C++ active appearance model API (AAM_API). It is modified with a subset of required functions for automatic MRI prostate segmentation. AAM-API LICENSE - file: license.txt This software is freely available for non-commercial use such as research and education. Please see the full disclaimer below. All publications describing work using this software should cite the reference given below. Copyright (c) 2000-2003 Mikkel B. Stegmann, mbs@imm.dtu.dk IMM, Informatics invalid input: '&' Mathematical Modelling DTU, Technical University of Denmark Richard Petersens Plads, Building 321 DK-2800 Lyngby, Denmark http://www.imm.dtu.dk/~aam/ REFERENCES Please use the reference below, when writing articles, reports etc. where the AAM-API has been used. A draft version the article is available from the homepage. I will be happy to receive pre- or reprints of such articles. /Mikkel ------------- M. B. Stegmann, B. K. Ersboll, R. Larsen, "FAME -- A Flexible Appearance Modelling Environment", IEEE Transactions on Medical Imaging, IEEE, 2003 (to appear) ------------- 3RD PART SOFTWARE The software is partly based on the following libraries: - The Microsoft(tm) Vision Software Developers Kit, VisSDK - LAPACK DISCLAIMER This software is provided 'as-is', without any express or implied warranty. In no event will the author be held liable for any damages arising from the use of this software. Permission is granted to anyone to use this software for any non-commercial purpose, and to alter it, subject to the following restrictions: 1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. 2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software. 3. This notice may not be removed or altered from any source distribution. -- No guarantees of performance accompany this software, nor is any responsibility assumed on the part of the author or IMM. This software is provided by Mikkel B. Stegmann and IMM ``as is'' and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall IMM or Mikkel B. Stegmann be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage. $Revision: 1.4 $ $Date: 2003/04/23 14:49:15 $ General purpose optimization of the AAM.
Author:
Ruida Cheng

  • Field Details

    • m_pModel

      private final CAAMModel m_pModel
      The AAM model.

    • m_pShape

      private final CAAMShape m_pShape
      The initial shape pose.

    • m_pImage

      private final ModelSimpleImage m_pImage
      The image where the optimization shuold be done.

    • m_iSimilarityMeasure

      private int m_iSimilarityMeasure
      The similarity measure to be used.

    • m_vDiff

      private CDVector m_vDiff
      The difference vector.

    • m_dMinFit

      private double m_dMinFit
      The minimum fit.

    • m_sMinShape

      private CAAMShape m_sMinShape
      The minimum fit shape.

    • m_vMinC

      private CDVector m_vMinC
      The minimum fit model parameters.

    • m_dFit

      private double m_dFit
      scale fit of AAM

  • Constructor Details

    • CAAMOptimize

      public CAAMOptimize(CAAMModel aammodel, CAAMShape s, ModelSimpleImage image, int similaritym)
      Constructor for the AAM optimizer. Sets uo initial info about AAM, shape and the image the model should optimized on.
      Parameters:
      aammodel - The AAM.
      s - The initial shape pose being optimized.
      image - The image on which the optimization shall be done.
      similaritym - The simlarity measure to be used

  • Method Details

    • EvalGradient

      public void EvalGradient(CDVector vX, CDVector vGradient)
      evaluates the analytic gradient at postion vX (if exists)
      Specified by:
      EvalGradient in interface CDOptimizeFuncBase

    • Update

      public void Update(CDVector vX)
      function used to update e.g. interface
      Specified by:
      Update in interface CDOptimizeFuncBase

    • FinalFrror

      public double FinalFrror()
      Return scale fit of AAM
      Returns:

    • EvalFunction

      public double EvalFunction(CDVector vX)
      Fuction to be optimized. Function providing a scalar interpretation of the AAM fit based on a set of paramters.
      Specified by:
      EvalFunction in interface CDOptimizeFuncBase
      Parameters:
      vX - The independent parameters that will be optimized. The first n-4 elements constitues the normal model parameters of the AAM. The last four are the pose parameters.
      Returns:
      The scalar fit of the AAM.

    • OptResults

      public void OptResults(CDVector c, CAAMShape s, double[] fit)
      Returns the optimisation results as c, shape and error. This is to avoid and extra conversion after ended optimisation, and worse, an extra image sampling to get the error.
      Parameters:
      c - The optimal model parameters.
      s - The optimal shape.
      s - The optimal error.