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B

Batchable - Interface in Facemorph.psychomorph

Batchable interface, this should be implemented by classes that wish to be loaded as Psychomorph plugins.

BatchCategoriseImage - Class in Facemorph.psychomorph.batchable

Simple batchable to assign a set of image to groups, recorded in a text file

BatchCategoriseImage() - Constructor for class Facemorph.psychomorph.batchable.BatchCategoriseImage

Creates new form BatchCorrectTemplate

BatchChimericTransform - Class in Facemorph.psychomorph.batchable

Chimeric transform implementation

BatchChimericTransform() - Constructor for class Facemorph.psychomorph.batchable.BatchChimericTransform

BatchColourCalibrate - Class in Facemorph.psychomorph.batchable

Colour calibration implementation Reads calibration chart data from file.

BatchColourCalibrate() - Constructor for class Facemorph.psychomorph.batchable.BatchColourCalibrate

BatchCorrectMouth - Class in Facemorph.psychomorph.batchable

Batch corrects the mouth in the "standard" template, by checking if the top -lip is below the bottom lip points and swapping if needed

BatchCorrectMouth() - Constructor for class Facemorph.psychomorph.batchable.BatchCorrectMouth

BatchCorrectTemplate - Class in Facemorph.psychomorph.batchable

Allows the user to edit a bacth of templates one after the other to make small corrections

BatchCorrectTemplate() - Constructor for class Facemorph.psychomorph.batchable.BatchCorrectTemplate

Creates new form BatchCorrectTemplate

batchDelineate(String, String) - Method in class Facemorph.oesf.ORASM3D

Batch delineation method

BatchExtraPoints - Class in Facemorph.psychomorph.batchable

Implements adding extra points to the "old" standard template in the style of Ben and Lisa (mostly around the neck, nose and ears) The points should be correct afterwards.

BatchExtraPoints() - Constructor for class Facemorph.psychomorph.batchable.BatchExtraPoints

BatchMRFTransform - Class in Facemorph.psychomorph.batchable

BatchMRFTransform() - Constructor for class Facemorph.psychomorph.batchable.BatchMRFTransform

BatchProcess - Class in Facemorph.psychomorph

Batch processing made multi threaded

BatchProcess(Batchable, String, Component, JFileChooser, File, ImageZoomPanel) - Constructor for class Facemorph.psychomorph.BatchProcess

Create a batch processing thread

batchProcess(Batchable, String, Component, JFileChooser, ImageZoomPanel) - Static method in class Facemorph.psychomorph.DelineatorForm

Batch processing method

batchProcess(Batchable, String, Component, JFileChooser, File, ImageZoomPanel) - Static method in class Facemorph.psychomorph.DelineatorForm

Batch processing method

BatchSymmetrise - Class in Facemorph.psychomorph.batchable

Batch symmetriser

BatchSymmetrise() - Constructor for class Facemorph.psychomorph.batchable.BatchSymmetrise

batchTest(String, ArrayList<String>, ArrayList<String>, int) - Method in class Facemorph.psm.PSM

batchTest(String, ArrayList<String>, ArrayList<String>, int, HaarReader) - Method in class Facemorph.psm.PSMNode

Batch testing method

batchTransform() - Method in class Facemorph.psychomorph.DelineatorForm

Batch transform method

betai(float, float, float) - Static method in class Facemorph.Numerical

Incomplete beta function

BigMat - Class in Facemorph

Arbitrary size matrix utility class particularly useful are the singular value decomposition (SVD) and jacobi routines SVD is used to do least-squares matrix inversion and eigen analysis jacobi is used for eigen analysis

BigMat() - Constructor for class Facemorph.BigMat

A (possibly large) rectangular matrix

BigMat(int, int) - Constructor for class Facemorph.BigMat

Construct a BigMat with the size specified

BigMat(double[][]) - Constructor for class Facemorph.BigMat

Constuct a BigMat using an array of doubles (row major)

BigMat(BigMat) - Constructor for class Facemorph.BigMat

BigMat(BigMat, int, int) - Constructor for class Facemorph.BigMat

BigMatException - Exception in Facemorph

Thrown if a problem with a BigMat operation

BigMatException(String) - Constructor for exception Facemorph.BigMatException

Creates a new BigMatException

bm - Variable in class Facemorph.Filter

The border model to use 1= symmetric, -1=anti-symmetric

bpicture - Variable in class Facemorph.glmorph.IO

the image as a BufferedImage

bsplineinterp(double, double) - Method in class Facemorph.BSplineQuadTree

Performs interpolation rather than warping, so the shift between levels is added not concatenated

BSplineQuadTree - Class in Facemorph

BSplineQuadTree performs 2D interpolation

BSplineQuadTree(double, double) - Constructor for class Facemorph.BSplineQuadTree

Constructor for BSplineQuadTree of given width and height

bsplinewarp(double, double) - Method in class Facemorph.BSplineQuadTree

Find the warp shift at point (x, y), values between levels are concatenated not added

bsplinewarp(double, double, double[], int) - Method in class Facemorph.BSplineQuadTree

Find the warp shift at point (x,y)

BufferedImg - Class in Facemorph.haar

A floating point image class

BufferedImg(int, int, int) - Constructor for class Facemorph.haar.BufferedImg

Create a buffered image object

BufferedImg(BufferedImage) - Constructor for class Facemorph.haar.BufferedImg

Create a buffered image object

BufferedImg(Image) - Constructor for class Facemorph.haar.BufferedImg

Create a buffered image object

build(String, HaarReader, double) - Method in class Facemorph.aam.CLM

Builds a CLM model from a set of images listed in a file

build(String, HaarReader) - Method in class Facemorph.aam.CLMLR

Build a CLMLR model from the images listed in file using the haar face detector

build(String, HaarReader) - Method in class Facemorph.aam.CLMSVM

Builds an SVM based CLM model

build(Vector) - Method in class Facemorph.Gaussian

Builds a Gaussian from a set of arrays

build(Vector, BigMat) - Method in class Facemorph.Gaussian

Build a Gaussian from the supplied samples

build(Vector, Vector, int) - Method in class Facemorph.Gaussian

Builds the mean and covariance matrix from the samples given

build(String, String, HaarReader) - Method in class Facemorph.oesf.ORASM

Build an ORASM feature detector

build(ArrayList<Template>, int, int[]) - Method in class Facemorph.PCA

Builds a PCA from the set of Templates given

build(ArrayList<Template>, Template, int, int[]) - Method in class Facemorph.PCA

Builds a PCA from the set of Templates given

build(Vector<ArrayList<Template>>) - Method in class Facemorph.PCA

Builds a PCA from a set of template sets.

build(BigMat) - Method in class Facemorph.PCA

Builds a PCA from the data in a matrix form

build(BigMat, double[]) - Method in class Facemorph.PCA

Builds a PCA from a set of weighted samples

build(Template, Image, Image[], Template[], Mask, double) - Method in class Facemorph.PCI

Builds a PCI from the data given

build(Template, FloatImage[], Image[], Template[], FloatImage, double) - Method in class Facemorph.PCI

Method to create a PCI from a set of delineated images.

build(ArrayList<BufferedImage>, double) - Method in class Facemorph.PCI

Method to create a PCI from a set of delineated images.

build(ArrayList<BufferedImage>, double, FloatImage) - Method in class Facemorph.PCI

Method to create a PCI from a set of delineated images.

build(Vector) - Method in class Facemorph.psm.DiagonalGaussian

Build from a sample of double[] vectors

build(Vector, Vector, int) - Method in class Facemorph.psm.DiagonalGaussian

Builds the mean and covariance matrix from the samples given

build(Vector, Vector<Double>) - Method in class Facemorph.psm.DiagonalGaussian

Builds the mean and covariance matrix from the samples given

build(boolean, double[][]) - Method in class Facemorph.tensor.Tensor

build N-way model, replace this with the core tensor and return the rotation components.

build(boolean, double[][], int) - Method in class Facemorph.tensor.Tensor

build N-way model, replace this with the core tensor and return the rotation components.

build_pyramid(Filter, Filter, int) - Method in class Facemorph.Pyramid

Build a Pyramid

buildAAMappearance(int) - Method in class Facemorph.aam.AAM

Builds an AAM for the appearance algorithm

buildAAMappearance() - Method in class Facemorph.aam.GLAAM

Builds an AAM for the appearance algorithm

buildAAMspan(int) - Method in class Facemorph.aam.AAM

Builds an AAM for the projected out appearance algorithm

buildAAMspan() - Method in class Facemorph.aam.GLAAM

Builds an AAM for the projected out appearance algorithm

buildAverageFromWarped(Vector<Image>) - Static method in class Facemorph.tensor.Tensor

Build an average from a set of warped images

buildCAAM(int) - Method in class Facemorph.aam.AAM

Builds a Correlated Active Appearance Model

buildCAAM() - Method in class Facemorph.aam.GLAAM

Builds a Correlated Active Appearance Model

buildFilter(String) - Static method in class Facemorph.oesf.AESF

Builds an AESF

buildFilter(String, HaarReader, int[]) - Method in class Facemorph.oesf.OESF

Build an OESF filter

buildFilter(String, HaarReader, boolean, int[]) - Method in class Facemorph.oesf.OESF

Build a set of OESF filters

buildFloatImage(ArrayList<FloatImage[]>, FloatImage, double) - Method in class Facemorph.PCI

Method to create a PCI from a set of delineated images.

buildModel(int) - Method in class Facemorph.MDL

Rebuild the PCA model leaving one image out

buildPCAandAverage(BigMat, double[]) - Method in class Facemorph.PCA

Builds a PCA from the data in a matrix form

buildPyramid(FloatImage, ArrayList<Filter>, Filter, int) - Method in class Facemorph.psm.SteerablePyramid

Build a pyramid from and image

buildTemplateSet(String) - Method in class Facemorph.PCA

Builds a PCA from a set of template sets.

buildVectors(Vector<ArrayList<double[]>>) - Method in class Facemorph.PCA

Builds a PCA from a set of vector sets.

buildWarpedFiles(int, double, FloatImage[], FloatImage) - Static method in class Facemorph.PCI

Method to create a PCI from a set of pre-warped images, which are read from files with names of the form "warped"+i+"_"+k+".fimg" where k is 0, 1 or 2 for r, g and b.

buildWithAverage(double[][], int, double) - Method in class Facemorph.tensor.Tensor

build N-way model, replace this with the core tensor and return the rotation components

buildWithAverageInPlace(double[][], int, double) - Method in class Facemorph.tensor.Tensor

build N-way model, replace this with the core tensor and return the rotation components

bytesToDouble(byte[], int) - Static method in class Facemorph.FloatImage

Convert a byte array into a double

bytesToFloat(byte[], int) - Static method in class Facemorph.FloatImage

Convert a byte array into a float

bytesToInt(byte[], int) - Static method in class Facemorph.FloatImage

Converts some bytes into an int

bytesToLong(byte[], int) - Static method in class Facemorph.FloatImage

Converts some bytes into a long