Facemorph.psm
Class DiagonalEMFeature

java.lang.Object
  Facemorph.psm.DiagonalEMFeature

All Implemented Interfaces:

Feature

public class DiagonalEMFeature
extends java.lang.Object
implements Feature

DiagonalEMFeature implementation

Constructor Summary

DiagonalEMFeature()
DiagonalEMFeature constructor

Method Summary

void	addSample(int featureIndex, java.awt.geom.Point2D.Float p) Add a sample when training the patches
double[]	getFeatureVector(java.awt.geom.Point2D.Float p) Get the feature vector at the location specified
FloatImage	getProbability(int featureIndex) Get the probability image for a particular feature
void	normalise() Normalise the feature models if needed at the end of training
void	read(java.io.StreamTokenizer st, java.lang.String folder, boolean url) Read a feature from a file or url
void	setFeatureCount(int count) Sets the number of features
void	setImage(java.awt.Image img) Set the image to use
void	write(java.io.PrintStream out, java.lang.String folder) Write teh feature to a PrintStream

Methods inherited from class java.lang.Object

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

Constructor Detail

DiagonalEMFeature

public DiagonalEMFeature()

DiagonalEMFeature constructor

Method Detail

setFeatureCount

public void setFeatureCount(int count)

Description copied from interface: Feature

Sets the number of features

Specified by:

setFeatureCount in interface Feature

Parameters:

count - the number of features

getFeatureVector

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

Description copied from interface: Feature

Get the feature vector at the location specified

Specified by:

getFeatureVector in interface Feature

Parameters:

p - the point to sample

Returns:

the feature vector (meaning is implementation dependent)

setImage

public void setImage(java.awt.Image img)

Description copied from interface: Feature

Set the image to use

Specified by:

setImage in interface Feature

Parameters:

img - the image to use

addSample

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

Description copied from interface: Feature

Add a sample when training the patches

Specified by:

addSample in interface Feature

normalise

public void normalise()

Description copied from interface: Feature

Normalise the feature models if needed 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

Description copied from interface: Feature

Read a feature from a file or url

Specified by:

read in interface Feature

Parameters:

st - the StreamTokenizer to use

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)

Description copied from interface: Feature

Write teh feature to a PrintStream

Specified by:

write in interface Feature

Parameters:

out - the output stream

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

getProbability

public FloatImage getProbability(int featureIndex)

Description copied from interface: Feature

Get the probability image for a particular feature

Specified by:

getProbability in interface Feature

Parameters:

featureIndex - the feature number

Returns:

the probability image