Facemorph.mdl
Class GLGroupwiseImageRegistration

java.lang.Object
  Facemorph.Powell
      Facemorph.mdl.GLGroupwiseImageRegistration

public class GLGroupwiseImageRegistration
extends Powell

Open GL groupwise registration implementation

Field Summary

Fields inherited from class Facemorph.Powell

fittnessMemo, kNN, memo, TINY

Constructor Summary

GLGroupwiseImageRegistration(java.util.ArrayList<java.awt.image.BufferedImage> images, int pw, int ph)
Constructor for groupwise registration object

Method Summary

java.util.ArrayList<FloatImage[]>	calculateDerivatives(FloatImage[] mean, float shift) Calculate the derivatives (x and y shift of each point)
double	func(double[] params) Func should be overrided to calculate the error given the parameters params
double	func(double[] params, boolean display) Evaluate function with optional (debug) output / display
static void	main(java.lang.String[] args) Main method for testing
void	onIteration(double[] params) onIteration is called once per complete itrations to show the best current guess.
void	output(FloatImage[] fimg, java.util.Vector<java.awt.geom.Point2D.Float> pts, java.lang.String fname) Output image and other data drawn on it for debugging
void	setUpWarp(FloatImage[] subject, java.util.Vector<java.awt.geom.Point2D.Float> ptVec, java.util.Vector<java.awt.geom.Point2D.Float> iPtVec) Sets up the warping
void	zNormalise(FloatImage[] img, int smoothness) z normalisation of image

Methods inherited from class Facemorph.Powell

linmin, optimiseGA, powell, powell, spsa, spsa2

Methods inherited from class java.lang.Object

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

Constructor Detail

GLGroupwiseImageRegistration

public GLGroupwiseImageRegistration(java.util.ArrayList<java.awt.image.BufferedImage> images,
                                    int pw,
                                    int ph)

Constructor for groupwise registration object

Parameters:

images - the images to align

pw - the number of grid points horizontally

ph - the number of grid points vertically

Method Detail

calculateDerivatives

public java.util.ArrayList<FloatImage[]> calculateDerivatives(FloatImage[] mean,
                                                              float shift)

Calculate the derivatives (x and y shift of each point)

Parameters:

mean - the mean image (or image whose derivatives you want to calculate)

shift - the pixel shift of each point

Returns:

returns the set of derivatives (x then y of each point in order)

setUpWarp

public void setUpWarp(FloatImage[] subject,
                      java.util.Vector<java.awt.geom.Point2D.Float> ptVec,
                      java.util.Vector<java.awt.geom.Point2D.Float> iPtVec)

Sets up the warping

Parameters:

subject - the image to warp

ptVec - the vector of points

iPtVec - the vector of new point locations

output

public void output(FloatImage[] fimg,
                   java.util.Vector<java.awt.geom.Point2D.Float> pts,
                   java.lang.String fname)

Output image and other data drawn on it for debugging

Parameters:

fimg - the image to write

pts - the current points

fname - the name of the image file to write

func

public double func(double[] params)

Description copied from class: Powell

Func should be overrided to calculate the error given the parameters params

Specified by:

func in class Powell

Parameters:

params - the parameters to evaluate

Returns:

returns the error

func

public double func(double[] params,
                   boolean display)

Evaluate function with optional (debug) output / display

Parameters:

params - the parameter vector

display - should this be output in some way

Returns:

returns the function evaluated at this point

zNormalise

public void zNormalise(FloatImage[] img,
                       int smoothness)

z normalisation of image

Parameters:

img - the image to normalise

smoothness - the smoothness parameter

onIteration

public void onIteration(double[] params)

Description copied from class: Powell

onIteration is called once per complete itrations to show the best current guess. It can be implemented with an empty body if not needed

Specified by:

onIteration in class Powell

Parameters:

params - the current params of the model

main

public static void main(java.lang.String[] args)
                 throws java.io.FileNotFoundException,
                        PowellException,
                        java.io.IOException

Main method for testing

Parameters:

args - the program arguments

Throws:

java.io.FileNotFoundException

PowellException

java.io.IOException