Facemorph.aam
Class CAAMSolver

java.lang.Object
  Facemorph.aam.CAAMSolver

public class CAAMSolver
extends java.lang.Object

Utillity class for solving the normalised cross correlation given the current synthetic image and the derivatives with respect to each model parameter.

Constructor Summary

CAAMSolver(double[] f, double[][] df)
Creates a new instance of CAAMSolver

CAAMSolver(double[] f, double[][] df, BigMat hessian, double[] fdotdf, double fdotf)
Creates a new instance of CAAMSolver

Method Summary

static double	dotProduct(double[] a, double[] b) Calculates the dot product between two arrays of equal length
static double	getMean(double[] v) Get the mean of the vector
CAAMSolver	getReduced(double[] weights) Get a CAAMSolver with fewer degrees of freedom
double[]	getUpdate(double[] g) get the update parameters for the given target data vector
static void	main(java.lang.String[] args) Main method for testing
static double	ncc(double[] a, double[] b) Calculates the dot product between two arrays of equal length
double[]	reconstruct(double[] update) Reconstructs given the update
static void	subtractMean(double[] v, double mean) Subtract the mean from the vector

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

CAAMSolver

public CAAMSolver(double[] f,
                  double[][] df)

Creates a new instance of CAAMSolver

Parameters:

f - The current model vector

df - the derivatives of the current model

CAAMSolver

public CAAMSolver(double[] f,
                  double[][] df,
                  BigMat hessian,
                  double[] fdotdf,
                  double fdotf)

Creates a new instance of CAAMSolver

Parameters:

f - The current model vector

df - the derivatives of the current model

hessian -

fdotf -

fdotdf -

Method Detail

getReduced

public CAAMSolver getReduced(double[] weights)

Get a CAAMSolver with fewer degrees of freedom

Parameters:

weights - the weights

Returns:

return the reduced CAAMSolver

getMean

public static double getMean(double[] v)

Get the mean of the vector

Parameters:

v - teh input vector

Returns:

return the mean

subtractMean

public static void subtractMean(double[] v,
                                double mean)

Subtract the mean from the vector

Parameters:

v - the input vector

mean - the mean value to subtract

getUpdate

public double[] getUpdate(double[] g)

get the update parameters for the given target data vector

Parameters:

g - vector containing the measured data

Returns:

return the array of update parameters

dotProduct

public static double dotProduct(double[] a,
                                double[] b)

Calculates the dot product between two arrays of equal length

Parameters:

a - first array

b - second array

Returns:

retuns the dot product of the two arrays

ncc

public static double ncc(double[] a,
                         double[] b)

Calculates the dot product between two arrays of equal length

Parameters:

a - first array

b - second array

Returns:

retuns the dot product of the two arrays

reconstruct

public double[] reconstruct(double[] update)

Reconstructs given the update

Parameters:

update - the parameter update

Returns:

returns the reconstructed vector

main

public static void main(java.lang.String[] args)

Main method for testing

Parameters:

args -