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E

edgeMagnitude(FloatImage, FloatImage) - Method in class Facemorph.FloatImage
Calculates the magnitude of edges
edgeWarp(FloatImage, MultiscaleWarp, int, int, String) - Method in class Facemorph.FloatImage
Non-recursive edge matching
EDIT_ADD_LINE - Static variable in class Facemorph.psychomorph.ImageZoomPanel
Edit add line
EDIT_ADD_POINT - Static variable in class Facemorph.psychomorph.ImageZoomPanel
Edit add points
EDIT_ADD_TO_MASK - Static variable in class Facemorph.psychomorph.ImageZoomPanel
Edit add points / lines to mask
EDIT_ADD_TO_SYMMETRY - Static variable in class Facemorph.psychomorph.ImageZoomPanel
Edit add points to symmetry data
EDIT_DELETE - Static variable in class Facemorph.psychomorph.ImageZoomPanel
Edit delete points / lines
EDIT_MOVE - Static variable in class Facemorph.psychomorph.ImageZoomPanel
Edit movement of points /lines
EDIT_START_CLOSED_LINE - Static variable in class Facemorph.psychomorph.ImageZoomPanel
Edit start a closed line
EDIT_START_OPEN_LINE - Static variable in class Facemorph.psychomorph.ImageZoomPanel
Edit start an open line
eigenAnalysis(double[]) - Method in class Facemorph.Gaussian
Analyse the sample into its principal components
eigenSynthesis(double[]) - Method in class Facemorph.Gaussian
Synthesise a sample with the given principal component weights
EM(Vector) - Method in class Facemorph.GMM
Perform the EM algorithm to build a GMM on a number of samples
EM(Vector) - Method in class Facemorph.psm.DiagonalGMM
Perform the EM algorithm to build a GMM on a number of samples
EM(Vector, Vector<Double>) - Method in class Facemorph.psm.DiagonalGMM
Perform the EM algorithm to build a GMM on a number of samples
EMcluster(Vector) - Method in class Facemorph.GMM
Attempt at automatically deciding on the number of cluster (doesn't really work)
EMcluster(int, Vector) - Method in class Facemorph.GMM
An experimental EM clustering algorithm
EMFeature - Class in Facemorph.psm
An EM (Expetation Maximisation??) PSM Feature implmentation
EMFeature() - Constructor for class Facemorph.psm.EMFeature
Constructor for EMFeature
EMtest - Class in Facemorph
Expectation maximization animated test program
EMtest(int, int) - Constructor for class Facemorph.EMtest
Construct a new EMtest of the given size with 1 Gaussian initially
EMtest(int, int, int) - Constructor for class Facemorph.EMtest
Construct a new EMtest of the given sizewith count Gaussians initially
eps - Static variable in class Facemorph.haar.Face
Tolerence for grouping
EPS - Static variable in class Facemorph.Numerical
A threshold value
equals(BigMat) - Method in class Facemorph.BigMat
Checks if the two matrices are identical
equals(BigMat, double) - Method in class Facemorph.BigMat
Checks if the two matrices are the same to within a given tollerance
equals(Object) - Method in class Facemorph.haar.Face
 
erodeMask() - Method in class Facemorph.FloatImage
Perform binary erosion on this FloatImage, any pixels adjacent to zero values are set to zero
estimateMean(Vector<double[]>, double) - Method in class Facemorph.pga.MultiSpherePGA
Estimates the intrinsic mean iteratively, until the ||mean||^2estimateMean(Vector<double[]>, double) - Method in class Facemorph.pga.SpherePGA
Estimate the mean of the dataset on the hypersphere
evaluateProbability(FloatImage) - Method in class Facemorph.psm.PSM
Evaluate the probability using Steerable pyramid
evaluateProbability(SteerablePyramid) - Method in class Facemorph.psm.PSM
Evaluate the probability by recursing down and up the tree
evaluateProbability(Image) - Method in class Facemorph.psm.PSMNode
Evaluate the probability of this feature in the image supplied
exp(Complex) - Static method in class Facemorph.Complex
Calculate complex exponential
expand(FloatImage, float[], int) - Method in class Facemorph.FloatImage
Make a double sized version of this and put it in fimg, the filter is used after placing zeros between rows and cols
expand(FloatImage, float[], int, int, int) - Method in class Facemorph.FloatImage
Make a double sized version of this and put it in fimg, the filter is used after placing zeros between rows and cols
extractHeader(String, String) - Method in class Facemorph.CSVFile
 
EyeFinder - Class in Facemorph.haar
Some kind of experimental eye detector (i.e.
EyeFinder(Image, Rectangle, int) - Constructor for class Facemorph.haar.EyeFinder
Creates a new instance of EyeFinder
eyeRect(Face, float, boolean, int, int) - Method in class Facemorph.haar.FeatureFinder
Estimates a search box for the eyes given the face rectangle

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