Facemorph.psm
Class PatchFeature

java.lang.Object
  Facemorph.psm.PatchFeature

All Implemented Interfaces:

Feature

public class PatchFeature
extends java.lang.Object
implements Feature

A feature realised as a Gaussian patch

Constructor Summary

PatchFeature()

Method Summary

void	addSample(int featureIndex, java.awt.geom.Point2D.Float p) Adds a sample point for training, image data taken from currently set image
double[]	getFeatureVector(java.awt.geom.Point2D.Float p) Get the feature vector
FloatImage	getProbability(int featureIndex) Get the feature probability
void	normalise() Perform any normalisation at the end of training
void	read(java.io.StreamTokenizer st, java.lang.String folder, boolean url) Read a patch feature
void	setFeatureCount(int count) Sets the number of features for some initialisation
void	setImage(java.awt.Image img) Sets the image to process
void	write(java.io.PrintStream out, java.lang.String folder) Write a patch feature
void	writeFeatureMeanImages(java.lang.String baseName) Writes the set of mean feature images

Methods inherited from class java.lang.Object

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

Constructor Detail

PatchFeature

public PatchFeature()

Method Detail

getProbability

public FloatImage getProbability(int featureIndex)

Get the feature probability

Specified by:

getProbability in interface Feature

Parameters:

featureIndex - the point index

Returns:

returns a probability image

getFeatureVector

public double[] getFeatureVector(java.awt.geom.Point2D.Float p)

Get the feature vector

Specified by:

getFeatureVector in interface Feature

Parameters:

p - the point

Returns:

returns the feature vector

setImage

public void setImage(java.awt.Image img)

Sets the image to process

Specified by:

setImage in interface Feature

Parameters:

img - the image

setFeatureCount

public void setFeatureCount(int count)

Sets the number of features for some initialisation

Specified by:

setFeatureCount in interface Feature

Parameters:

count - the number of features

addSample

public void addSample(int featureIndex,
                      java.awt.geom.Point2D.Float p)

Adds a sample point for training, image data taken from currently set image

Specified by:

addSample in interface Feature

Parameters:

featureIndex - the number of the feature

p - the point location

normalise

public void normalise()

Perform any normalisation at the end of training

Specified by:

normalise in interface Feature

read

public void read(java.io.StreamTokenizer st,
                 java.lang.String folder,
                 boolean url)
          throws java.io.IOException

Read a patch feature

Specified by:

read in interface Feature

Parameters:

st - the StreamTokenizer to read from

folder - useful for writing parts in separate files (maybe?)

url - is this a URL you're writing to

Throws:

java.io.IOException

write

public void write(java.io.PrintStream out,
                  java.lang.String folder)

Write a patch feature

Specified by:

write in interface Feature

Parameters:

out - the output stream to write to

folder - the folder to write (this and child nodes) to

writeFeatureMeanImages

public void writeFeatureMeanImages(java.lang.String baseName)

Writes the set of mean feature images

Parameters:

baseName - the base name, which is appended with the feature number + ".fimg"