Uses of Class
Facemorph.Template

Packages that use Template

Facemorph
Facemorph.aam
Facemorph.glmorph
Facemorph.mdl
Facemorph.oesf
Facemorph.psm
Facemorph.psychomorph
Facemorph.psychomorph.videomorph
Facemorph.tensor

Uses of Template in Facemorph

Methods in Facemorph that return Template

static Template	Template.autoDelineate(java.awt.Image subjectImage, java.awt.Image averageImage, Template averageTemplate, java.awt.geom.Point2D.Float leftEye, java.awt.geom.Point2D.Float rightEye, java.awt.geom.Point2D.Float mouth, int leftIndex, int rightIndex, int mouthIndex, java.awt.image.ImageObserver ob, PCA pca) Automatically delineates the image given returning a Template outlining the facial features
Template	AveragerApplet.autoDelineate(java.awt.Image subjectImage, java.awt.Point[] points) Method to autodelineate a new image, using 3 points specified by the user.
Template	KnockedUpApplet.autoDelineate(java.awt.Image subjectImage, java.awt.Point[] points) Method to autodelineate a new image, using 3 points specified by the user.
Template	PCA.build(java.util.ArrayList<Template> templates, int normalisation, int[] normalisationPoints) Builds a PCA from the set of Templates given
Template	Template.clone()
Template	PCA.combine(PCA pca1, Template average1, PCA pca2, Template average2) Combine two PCA models into a single one.
Template	PCA.combine2(PCA pca1, Template average1, PCA pca2, Template average2) Combine two PCA models into a single one.
static Template	Template.complexAverage(java.util.ArrayList<Template> origTemplates) Calculates the full procrustes average using complex maths
Template	ASM.delineate(java.awt.Image subjectImage, java.awt.geom.Point2D.Float... points) Delineate an image using this ASM
Template[]	PCA.getIntersection(Template average1, Template average2, PCA pca, double alpha, double beta) Find the least squares intersection between the two PCA models
Template	ASM.getTemplate() Gets the average Template
Template	PCI.getTemplate() Retrieve the average template that defines the shape of this PCI
Template	PCA.normaliseEyes(Template average, Template average2) Rotates this PCA so that it aligns with the new average
Template	PCA.project(Template tem, Template av) Projects the given Template into the closest approximation in the PCA space
Template	PCA.project(Template tem, Template av, boolean cap, double capval) Projects the given Template into the closest approximation in the PCA space
Template	PCA.project(Template tem, Template av, int left, int right, boolean cap, double capval) Projects the given Template into the closest approximation in the PCA space
Template	ASM.reconstruct(float[] params) Reconstructs a Template from a set of shape parameters
Template	PCA.replaceMean(Template newMean, Template oldMean, int left, int right, boolean closest) Replaces the mean of this PCA with a new mean aligned to the old using 2 point normalisation
Template	Template.scale(double s) Return a new Template as a copy of this one scaled by s
Template	Template.subtract(Template rhs) Creates a new template by subtracting the positions of two input templates output = this - rhs
Template	Template.transform(Template sourceTemplate, Template destTemplate, double s, float scale) Transforms this Template using the formula this = this + s*(sourceTemplate - destTemplate)
Template	Template.transform(Template sourceTemplate, Template destTemplate, double s, float scale, boolean conts) Transforms this Template using the formula this = this + s*(sourceTemplate - destTemplate)
Template	Template.transform(Template sourceTemplate, Template destTemplate, double s, float scale, boolean conts, int normalisation, int[] normPoints) Transforms this Template using the formula this = this + s*(sourceTemplate - destTemplate)
Template	Template.transformChimeric(Template sourceTemplate, Template destTemplate, float l1, float l2, float w) Transforms the left and right face sides separately
static Template	Template.weightedAverage(java.util.List<Template> templates, float[] weights, int iterations) Makes a weighted average of the templates given
static Template	Template.weightedAverage(Template t1, float w1, Template t2, float w2) Makes a weighted average of the templates given

Methods in Facemorph that return types with arguments of type Template

java.util.ArrayList<Template>	PCA.build(java.util.Vector<java.util.ArrayList<Template>> templateSets) Builds a PCA from a set of template sets.
java.util.ArrayList<Template>	PCA.buildTemplateSet(java.lang.String fileName) Builds a PCA from a set of template sets.
java.util.Vector<java.util.ArrayList<Template>>	PCA.getTemplateSet(java.lang.String fileName) Reads sets of templates from file into a Vector of ArrayList of Templates
java.util.Vector<java.util.ArrayList<Template>>	PCA.makeMatchingSets(java.util.Vector<java.util.ArrayList<Template>> templateSets, java.util.ArrayList<Template> averages, double varianceToExplain) Creates a set of matching sets from a set of Template sets.
java.util.Vector<java.util.ArrayList<Template>>	PCA.makeMatchingTemplateSets(java.lang.String fileName, double pcVar) Creates a set of matching sets from a set of Template sets.

Methods in Facemorph with parameters of type Template

int	Template.addChimeric(Template t, float l1, float l2, float w) Adds different amounts to the left and right side the points 0 and 1 are used to define the eyes, and hence the symmetry line
boolean	Template.addToAverage(Template t, int n) Adds the n'th template to this average
static void	PCA.addToAverage(Template average1, PCA pca1, Template currentAverage, int n, int start, BigMat data) Incrementally updates the data matrix and currentAverage by adding the PCA data to them
void	Template.addWeighted(Template t, Complex z) this = this + z*t
float[][]	Template.affineFit(Template tem, int[] normalisationPoints) Performs an affine fit of this to Template tem using the normalisation points specified
double[]	PCA.analyse(Template tem, Template avTem) Analyse a template to find the PCA weights
double[]	PCA.analyse(Template tem, Template avTem, int normalisation, int[] normalisationPoints) Analyse a template to find the PCA weights
static Template	Template.autoDelineate(java.awt.Image subjectImage, java.awt.Image averageImage, Template averageTemplate, java.awt.geom.Point2D.Float leftEye, java.awt.geom.Point2D.Float rightEye, java.awt.geom.Point2D.Float mouth, int leftIndex, int rightIndex, int mouthIndex, java.awt.image.ImageObserver ob, PCA pca) Automatically delineates the image given returning a Template outlining the facial features
int	Template.average(Template[] t) Constructs the average of the array of templates given
int	Template.average(Template[] templates, boolean normalise) Calculates the average of the Templates
static java.awt.Image	Transformer_1.averageImages(java.awt.Image[] images, Template[] templates, Template averageTemplate, int outW, int outH, java.awt.image.ImageObserver obs, boolean autoSize) Method to create an average from a set of delineated images.
static java.awt.Image	Transformer_1.averageImages(java.awt.Image[] images, Template[] templates, Template averageTemplate, int outW, int outH, java.awt.image.ImageObserver obs, boolean autoSize) Method to create an average from a set of delineated images.
static java.awt.Image	Transformer.averageImages(java.awt.Image[] images, Template[] templates, Template averageTemplate, int outW, int outH, java.awt.image.ImageObserver obs, boolean autoSize, int normalisation) Average a set of images
static java.awt.Image	Transformer.averageImages(java.awt.Image[] images, Template[] templates, Template averageTemplate, int outW, int outH, java.awt.image.ImageObserver obs, boolean autoSize, int normalisation) Average a set of images
static java.awt.Image	Transformer.averageImages(java.awt.Image[] images, Template[] templates, Template averageTemplate, int outW, int outH, java.awt.image.ImageObserver obs, boolean autoSize, int normalisation, TransformerListener warpListener, TransformerListener averageListener) Method to create an average from a set of delineated images.
static java.awt.Image	Transformer.averageImages(java.awt.Image[] images, Template[] templates, Template averageTemplate, int outW, int outH, java.awt.image.ImageObserver obs, boolean autoSize, int normalisation, TransformerListener warpListener, TransformerListener averageListener) Method to create an average from a set of delineated images.
static java.awt.Image	Transformer.averageImagesTexture(java.awt.Image[] images, Template[] templates, Template averageTemplate, int outW, int outH, Filter[] filters, int bm, java.awt.image.ImageObserver obs, boolean autoSize, int normalisation) Method to create an average from a set of delineated images.
static java.awt.Image	Transformer.averageImagesTexture(java.awt.Image[] images, Template[] templates, Template averageTemplate, int outW, int outH, Filter[] filters, int bm, java.awt.image.ImageObserver obs, boolean autoSize, int normalisation) Method to create an average from a set of delineated images.
static java.awt.Image	Transformer.averageImagesTexture(java.awt.Image[] images, Template[] templates, Template averageTemplate, int outW, int outH, Filter[] filters, int bm, java.awt.image.ImageObserver obs, boolean autoSize, int normalisation, TransformerListener warpListener, TransformerListener averageListener) Method to create an average from a set of delineated images.
static java.awt.Image	Transformer.averageImagesTexture(java.awt.Image[] images, Template[] templates, Template averageTemplate, int outW, int outH, Filter[] filters, int bm, java.awt.image.ImageObserver obs, boolean autoSize, int normalisation, TransformerListener warpListener, TransformerListener averageListener) Method to create an average from a set of delineated images.
static java.awt.Image	Transformer_1.averageImagesTexture(java.awt.Image[] images, Template[] templates, Template averageTemplate, int outW, int outH, java.awt.image.ImageObserver obs, boolean autoSize) Method to create an average from a set of delineated images.
static java.awt.Image	Transformer_1.averageImagesTexture(java.awt.Image[] images, Template[] templates, Template averageTemplate, int outW, int outH, java.awt.image.ImageObserver obs, boolean autoSize) Method to create an average from a set of delineated images.
int	PCA.build(java.util.ArrayList<Template> templates, Template avTem, int normalisation, int[] normalisationPoints) Builds a PCA from the set of Templates given
void	PCI.build(Template avTem, FloatImage[] avImg, java.awt.Image[] images, Template[] templates, FloatImage mask, double varianceToExplain) Method to create a PCI from a set of delineated images.
void	PCI.build(Template avTem, FloatImage[] avImg, java.awt.Image[] images, Template[] templates, FloatImage mask, double varianceToExplain) Method to create a PCI from a set of delineated images.
void	PCI.build(Template avTem, java.awt.Image avImg, java.awt.Image[] images, Template[] templates, Mask mask, double varianceToExplain) Builds a PCI from the data given
void	PCI.build(Template avTem, java.awt.Image avImg, java.awt.Image[] images, Template[] templates, Mask mask, double varianceToExplain) Builds a PCI from the data given
double	Template.calculateRigidBodyFit(Template tmplt, double[][] R, double[] T) Calculates and performs a least-square error rigid-body transform on this Template
void	BSplineQuadTree.calculateWarp(int levs, Template t1, Template t2) Calculate a warp from the constraints given as two Templates
static java.awt.image.BufferedImage	Transformer.caricatureChimeric(java.awt.image.BufferedImage subImg, java.awt.image.BufferedImage cimg1, java.awt.image.BufferedImage cimg2, Template tmplt, float l1, float l2, float wid) Half face transform on the image (no warping)
Template	PCA.combine(PCA pca1, Template average1, PCA pca2, Template average2) Combine two PCA models into a single one.
BigMat	PCI.combine(PCI[] pci, Template targetShape, int targetWidth, int targetHeight, Mask mask) Builds a PCI by combining a set of PCIs
Template	PCA.combine2(PCA pca1, Template average1, PCA pca2, Template average2) Combine two PCA models into a single one.
void	Template.complexAverage(Template[] templates) Calculates the full procrustes average using complex maths
Complex	Template.complexDotProduct(Template t) Complex dot product of this with t, treating (x,y) coords of each point as complex number x+iy
FloatImage[]	Template.constructMultilinearFitter(int warpType, java.awt.Image averageImage, Template avrg, Mask mask, Multilinear shapeMultilinear, Multilinear imageMultilinear, float scale) Constructs the data needed for fitting a multilinear AAM to an image using efficient reverse method, with linear projection model, includes colour information
void	Template.copy(Template t) Copies the Template given into this
boolean	Template.copySamples(Template t) Make each contour have the same number of samples as Template t
double	Template.dotProduct(Template t) Calcualtes the dot product of the templates given
void	TransformerListener.drawAverage(java.awt.Image img, Template tem, int i, int count) Called when the average needs to be redrawn
void	TransformerListener.drawImage(java.awt.Image img, Template tem, boolean warped) Called when the image needs to be drawn
void	Template.fitAAMshape(int warpType, FloatImage average, FloatImage subject, Template avrg, Mask mask, PCA pca, float scale) First attempt at fitting an AAM to an image, does not include colour information, not recommended to use!
void	Template.fitMultilinear(java.awt.Image subject, java.awt.Image averageImage, Template avrg, Mask mask, Multilinear shapeMultilinear, Multilinear imageMultilinear, FloatImage[] diffImg, float scale) Uses a multilinear fitting model to try a fit a template to the image
void	Template.fitMultilinear(int warpType, java.awt.Image subject, java.awt.Image averageImage, Template avrg, Mask mask, Multilinear shapeMultilinear, Multilinear imageMultilinear, float scale) Attempt at fitting an Multilinear AAM to an image using efficient reverse method, with linear projection model, includes colour information
void	Template.fitPCA(FloatImage average, FloatImage subject, Template avrg, PCA pca, int leftIndex, int rightIndex, int mouthIndex) Fits a Template to this FloatImage
boolean	Template.fitPCA(java.awt.Image subjectImage, java.awt.Image averageImage, Template averageTemplate, java.awt.geom.Point2D.Float leftEye, java.awt.geom.Point2D.Float rightEye, int leftIndex, int rightIndex, java.awt.image.ImageObserver ob, PCA pca) Automatically delineates the image given using this Template to outline the facial features
boolean	Template.fitPCA(java.awt.Image subjectImage, java.awt.Image averageImage, Template averageTemplate, java.awt.geom.Point2D.Float leftEye, java.awt.geom.Point2D.Float rightEye, java.awt.geom.Point2D.Float mouth, int leftIndex, int rightIndex, int mouthIndex, java.awt.image.ImageObserver ob, PCA pca) Automatically delineates the image given using this Template to outline the facial features
boolean	Template.fitPCAColourSegment(java.awt.Image subjectImage, java.awt.Image averageImage, Template averageTemplate, java.awt.geom.Point2D.Float leftEye, java.awt.geom.Point2D.Float rightEye, java.awt.geom.Point2D.Float mouth, int leftIndex, int rightIndex, int mouthIndex, java.awt.image.ImageObserver ob, PCA pca, Mask mask) Automatically delineates the image given using this Template to outline the facial features Tries to segment out the face from the background using colour to help
void	Template.fitTensor(int warpType, java.awt.Image subject, java.awt.Image averageImage, Template avrg, Mask mask, Tensor shapeTensor, Tensor imageTensor, BigMat shapeLinearModel, BigMat shapeAverage, BigMat imageLinearModel, BigMat imageAverage, float scale) Attempt at fitting an Tensor AAM to an image using efficient reverse method, with linear projection model, includes colour information
Template[]	PCA.getIntersection(Template average1, Template average2, PCA pca, double alpha, double beta) Find the least squares intersection between the two PCA models
float[]	Template.getPCAandNormParameters(PCA pca, Template average, int normalisation, int[] normPoints) Gets the pca and normalisation parameters in a single vector
float[]	Template.getPCAandRBparameters(PCA pca, Template average) Analyses this Template using a set of principal components
float[]	Template.getPCAparameters(PCA pca, Template average, int leftIndex, int rightIndex, int mouthIndex) Analyses this Template using a set of principal components
double[]	Template.getTensorandRBparameters(BigMat shapeModel, BigMat shapeAverage, Template average, Tensor shapeTensor) Analyses this Template using a tensor model
boolean	MultiscaleWarpRB.interpolate(Template tmp1, Template tmp2, boolean sample, boolean borders) Interpolate this warping function from tmp1 to tmp2
boolean	Warp.interpolate(Template tmp1, Template tmp2, boolean sample, boolean borders) Interpolate this warping function from tmp1 to tmp2
boolean	Warp.interpolate(Template tmp1, Template tmp2, boolean sample, boolean borders, boolean overlap) Interpolate this warping function from tmp1 to tmp2
static void	Transformer.mask(Template newTemplate, Mask mask, java.awt.image.BufferedImage warped, java.awt.image.BufferedImage transformed) Mask the colour changes to the array specified
static java.util.Vector<java.awt.Image>	Transformer_1.morph(java.awt.Image img1, Template tmp1, java.awt.Image img2, Template tmp2, int steps, java.awt.image.ImageObserver ob) Creates a Morph between two delineated images
static java.util.Vector<java.awt.Image>	Transformer.morph(java.awt.Image img1, Template tmp1, java.awt.Image img2, Template tmp2, int steps, java.awt.image.ImageObserver ob, boolean fast) Creates a Morph between two delineated images
static java.util.Vector<java.awt.Image>	Transformer.morph(java.awt.Image img1, Template tmp1, java.awt.Image img2, Template tmp2, int steps, java.awt.image.ImageObserver ob, boolean fast, java.util.Vector<Template> templates, TransformerListener listener) Creates a Morph between two delineated images
static void	Transformer.normaliseColours(Template newTemplate, Mask mask, java.awt.image.BufferedImage warped, java.awt.image.BufferedImage transformed) Normalise the mean and standard deviation of colours in the masked area
float[][]	Template.normaliseEyes(Template target) Performs 2 point normalisation using points 0 and 1
float[][]	Template.normaliseEyes(Template target, int[] normPoints) Performs 2 point normalisation using the points indicated in the normPoints array
Template	PCA.normaliseEyes(Template average, Template average2) Rotates this PCA so that it aligns with the new average
Template	PCA.project(Template tem, Template av) Projects the given Template into the closest approximation in the PCA space
Template	PCA.project(Template tem, Template av, boolean cap, double capval) Projects the given Template into the closest approximation in the PCA space
Template	PCA.project(Template tem, Template av, int left, int right, boolean cap, double capval) Projects the given Template into the closest approximation in the PCA space
boolean	Template.readPCA(java.io.DataInputStream in, Template average, PCA pca, int le, int re, int m) Reads in 3 normalisation points and some PCA parameters and reconstructs the Template (I think!)
void	Template.reconstructMultilinearandRB(Multilinear shapeMultilinear, Template average, double[] PCAandRBparams, boolean edgeOnly) Builds a Template from a set of Multilinear and Rigid Body parameters and data
void	Template.reconstructPCA(PCA pca, Template average, float[] pcaParams, int toskip) Reconstruct this Template from PCA data
void	Template.reconstructPCA(PCA pca, Template average, java.awt.geom.Point2D.Float left, java.awt.geom.Point2D.Float right, java.awt.geom.Point2D.Float mouth, float[] pcaParams, int leftIndex, int rightIndex, int mouthIndex) Builds a Template from a set of PCA parameters and data
void	Template.reconstructPCAandNorm(PCA pca, Template average, float[] PCAandRBparams, int normalisation, int[] normPoints) Reconstructs this Template from the PCA data using the parameters and normalisation specified
void	Template.reconstructPCAandRB(PCA pca, Template average, float[] PCAandRBparams) Builds a Template from a set of PCA and Rigid Body parameters and data
void	Template.reconstructTensorandRB(Tensor shapeTensor, Template average, double[] PCAandRBparams) Builds a Template from a set of Tensor and Rigid Body parameters and data
void	PCI.replaceMean(java.awt.Image newMean, Template temp, boolean project) Replace the mean image with that specified
void	ASM.replaceMean(Template temp, boolean project) Replaces the mean with the Template specified
Template	PCA.replaceMean(Template newMean, Template oldMean, int left, int right, boolean closest) Replaces the mean of this PCA with a new mean aligned to the old using 2 point normalisation
double	Template.rigidBodyFit(Template tmplt, double[][] R, double[] T) Calculates and performs a least-square error rigid-body transform on this Template
Template	Template.subtract(Template rhs) Creates a new template by subtracting the positions of two input templates output = this - rhs
void	Template.symmetrise(Template t, int[] plist, int w) Makes this template a symmetrical version of t
static java.awt.image.BufferedImage	Transformer.testTransform(int warpType, Template subTem, Template srcTem, Template dstTem, Template outTem, java.awt.image.BufferedImage subImg, java.awt.image.BufferedImage srcImg, java.awt.image.BufferedImage dstImg, double shapeAmount, double colourAmount, double textureAmount, Filter[] filters, int bm, Mask mask, boolean samples, boolean borders, boolean matchCols, int normalisation, int[] normPoints) Face transform method, more modular version
static java.awt.image.BufferedImage	Transformer.testTransform(int warpType, Template subTem, Template srcTem, Template dstTem, Template outTem, java.awt.Image subImg, java.awt.Image srcImg, java.awt.Image dstImg, double shapeAmount, double colourAmount, double textureAmount, Filter[] filters, int bm, Mask mask, boolean samples, boolean borders, boolean matchCols, int normalisation, int[] normPoints) Face transform method, more modular version
void	Template.trackASM(FloatImage average, FloatImage subject, Template avrg, PCA pca, float scale, int its, int[] normalisePointIndex) Fits a PCA model to an image using edge normal profiles
Template	Template.transform(Template sourceTemplate, Template destTemplate, double s, float scale) Transforms this Template using the formula this = this + s*(sourceTemplate - destTemplate)
Template	Template.transform(Template sourceTemplate, Template destTemplate, double s, float scale, boolean conts) Transforms this Template using the formula this = this + s*(sourceTemplate - destTemplate)
Template	Template.transform(Template sourceTemplate, Template destTemplate, double s, float scale, boolean conts, int normalisation, int[] normPoints) Transforms this Template using the formula this = this + s*(sourceTemplate - destTemplate)
static java.awt.Image	Transformer.transform(Template subjectTemplate, Template sourceTemplate, Template destTemplate, Template newTemplate, java.awt.Image subjectImg, java.awt.Image sourceImg, java.awt.Image destImg, double shape, double colour, double texture, java.awt.image.ImageObserver ob, Mask mask, Filter[] filters, int bm, boolean fast, boolean conts) Transforms subjectImage using the prototypes given and returns the result.
static java.awt.Image	Transformer_1.transform(Template subjectTemplate, Template sourceTemplate, Template destTemplate, Template newTemplate, java.awt.Image subjectImg, java.awt.Image sourceImg, java.awt.Image destImg, double s, java.awt.image.ImageObserver ob) Transforms subjectImage using the prototypes given and returns the result.
static java.awt.Image	Transformer.transform(Template subjectTemplate, Template sourceTemplate, Template destTemplate, Template newTemplate, java.awt.Image subjectImg, java.awt.Image sourceImg, java.awt.Image destImg, double s, java.awt.image.ImageObserver ob, boolean fast) Transforms subjectImage using the prototypes given and returns the result.
static java.awt.Image	Transformer.transform(Template subjectTemplate, Template sourceTemplate, Template destTemplate, Template newTemplate, java.awt.Image subjectImg, java.awt.Image sourceImg, java.awt.Image destImg, double s, java.awt.image.ImageObserver ob, Mask mask, boolean fast) Transforms subjectImage using the prototypes given and returns the result.
static java.awt.Image	Transformer.transformBald(Template subjectTemplate, Template avTemplate, Template rotAvTemplate, Template baldAvTemplate, Template rotBaldAvTemplate, Template hairAvTemplate, Template rotHairAvTemplate, Template newTemplate, java.awt.Image subjectImg, java.awt.Image sourceImg, java.awt.Image destImg, double s, java.awt.image.ImageObserver ob, boolean colour, boolean fast) Transforms subjectImage using the prototypes given and returns the result.
static java.awt.image.BufferedImage	Transformer.transformChimeric(int warpType, Template subTem, Template srcTem, Template dstTem, Template outTem, java.awt.image.BufferedImage subImg, java.awt.image.BufferedImage srcImg, java.awt.image.BufferedImage dstImg, float leftAmount, float rightAmount, float width, boolean samples, boolean borders) Half face transform method
Template	Template.transformChimeric(Template sourceTemplate, Template destTemplate, float l1, float l2, float w) Transforms the left and right face sides separately
static java.awt.Image	Transformer_1.transformMasked(Template subjectTemplate, Template sourceTemplate, Template destTemplate, Template newTemplate, java.awt.Image subjectImg, java.awt.Image sourceImg, java.awt.Image destImg, double s, java.awt.image.ImageObserver ob, Mask mask) Transforms subjectImage using the prototypes given and returns the result.
static java.awt.image.BufferedImage	Transformer.warp(int warpType, java.awt.image.BufferedImage bimg, Template start, Template end, int outW, int outH, boolean samples, boolean borders) Image warp method
BigMat	PCI.warp(Template targetShape, int targetWidth, int targetHeight, Mask mask) Warps this PCI into targetShape
java.awt.Image	LinearWarp_1.warpImage(Template t1, Template t2, boolean borders, java.awt.Image inImage) Warps inImage from shape t1 to shape t2
static Template	Template.weightedAverage(Template t1, float w1, Template t2, float w2) Makes a weighted average of the templates given

Method parameters in Facemorph with type arguments of type Template

int	Template.average(java.util.ArrayList<Template> t, boolean normalise) Constructs the average of the array of templates given
int	Template.average(java.util.ArrayList<Template> t, int normalise, int[] normPoints) Constructs the average of the array of templates given
Template	PCA.build(java.util.ArrayList<Template> templates, int normalisation, int[] normalisationPoints) Builds a PCA from the set of Templates given
int	PCA.build(java.util.ArrayList<Template> templates, Template avTem, int normalisation, int[] normalisationPoints) Builds a PCA from the set of Templates given
java.util.ArrayList<Template>	PCA.build(java.util.Vector<java.util.ArrayList<Template>> templateSets) Builds a PCA from a set of template sets.
static Template	Template.complexAverage(java.util.ArrayList<Template> origTemplates) Calculates the full procrustes average using complex maths
java.util.Vector<java.util.ArrayList<Template>>	PCA.makeMatchingSets(java.util.Vector<java.util.ArrayList<Template>> templateSets, java.util.ArrayList<Template> averages, double varianceToExplain) Creates a set of matching sets from a set of Template sets.
java.util.Vector<java.util.ArrayList<Template>>	PCA.makeMatchingSets(java.util.Vector<java.util.ArrayList<Template>> templateSets, java.util.ArrayList<Template> averages, double varianceToExplain) Creates a set of matching sets from a set of Template sets.
static java.util.Vector<java.awt.Image>	Transformer.morph(java.awt.Image img1, Template tmp1, java.awt.Image img2, Template tmp2, int steps, java.awt.image.ImageObserver ob, boolean fast, java.util.Vector<Template> templates, TransformerListener listener) Creates a Morph between two delineated images
static Template	Template.weightedAverage(java.util.List<Template> templates, float[] weights, int iterations) Makes a weighted average of the templates given

Constructors in Facemorph with parameters of type Template

ASM(Template template, PCA pca, java.awt.Image image, int normalisation, int[] pindex)
Creates a new instance of an ASM using the data specified

Uses of Template in Facemorph.aam

Methods in Facemorph.aam that return Template

Template	CLM.delineate(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate am image using this CLM
Template	CLMLR.delineate(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate am image using this CLMLR and the convex quadratic fitting method (CQF)
Template	CLMSVM.delineate(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate am image using this CLMSVM using the convex quadratic fitting (CQF) method
Template	CLMLR.delineateELS(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate am image using this CLMLR using the exhaustive local search (ELS) method
Template	MultiscaleAAM.fitAAM(java.awt.Image subject, Template template) Fit a multiscale AAM
Template	MultiscaleOpenGLAAM.fitAAM(java.awt.Image subject, Template template) Fit the AAM to an image
Template	AAM.fitAAM(java.awt.Image subject, Template template, float scale, int maxIts, int maxLoops, int start) Attempt at fitting an AAM to an image using the currently selected method
Template	GLAAM.fitAAM(java.awt.Image subject, Template template, float scale, int maxIts, int maxLoops, int start) Attempt at fitting an AAM to an image using the currently selected method
Template	MultiscaleAAM.fitAAM(java.awt.Image subject, Template template, int maxIts, int maxLoops, int start) Fit a multiscale AAM
Template	MultiscaleOpenGLAAM.fitAAM(java.awt.Image subject, Template template, int maxIts, int maxLoops, int start) Fit the AAM to an image
Template	AAM.fitAAMappearance(java.awt.Image subject, Template template, float scale, int maxIts, int start) Attempt at fitting an AAM to an image using the APPEARANCE method
Template	GLAAM.fitAAMappearance(java.awt.Image subject, Template template, float scale, int maxIts, int start) Attempt at fitting an AAM to an image using the APPEARANCE method
Template	AAM.fitAAMSimultaneous(java.awt.Image subject, Template template, float scale, int maxIts, int maxLoops, int start) Attempt at fitting an AAM to an image using the SIMULTANEOUS method
Template	GLAAM.fitAAMSimultaneous(java.awt.Image subject, Template template, float scale, int maxIts, int maxLoops, int start) Attempt at fitting an AAM to an image using the SIMULTANEOUS method
Template	AAM.fitAAMspan(java.awt.Image subject, Template template, float scale, int maxIts, int start) Attempt at fitting an AAM to an image using the SPAN method
Template	GLAAM.fitAAMspan(java.awt.Image subject, Template template, float scale, int maxIts, int start) Attempt at fitting an AAM to an image using the SPAN method
Template	AAM.fitCAAM(java.awt.Image subject, Template template, float scale, int maxIts, int maxLoops, int start) Attempt at fitting an AAM to an image using the CAAM method
Template	GLAAM.fitCAAM(java.awt.Image subject, Template template, float scale, int maxIts, int maxLoops, int start) Attempt at fitting an AAM to an image using the CAAM method
Template	AAM.fitCAAMshape(java.awt.Image subject, Template template, float scale, int maxIts, int start) Attempt at fitting an AAM to an image using the CAAMSHAPE method
Template	GLAAM.fitCAAMshape(java.awt.Image subject, Template template, float scale, int maxIts, int start) Attempt at fitting an AAM to an image using the CAAMSHAPE method
Template	CAAMPowell.solve(int maxAppIts, int maxits, double converged) Estimate the template iteratively
Template	CAAMPowell.solveSingle(int maxits, double converged) A single iteration of the detection process

Methods in Facemorph.aam with parameters of type Template

static float[]	GLAAM.concatenateParameters(float[] newparams, Template template, Template avrg) Concatenate the parameters
Template	CLM.delineate(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate am image using this CLM
Template	CLMLR.delineate(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate am image using this CLMLR and the convex quadratic fitting method (CQF)
Template	CLMSVM.delineate(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate am image using this CLMSVM using the convex quadratic fitting (CQF) method
Template	CLMLR.delineateELS(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate am image using this CLMLR using the exhaustive local search (ELS) method
Template	MultiscaleAAM.fitAAM(java.awt.Image subject, Template template) Fit a multiscale AAM
Template	MultiscaleOpenGLAAM.fitAAM(java.awt.Image subject, Template template) Fit the AAM to an image
Template	AAM.fitAAM(java.awt.Image subject, Template template, float scale, int maxIts, int maxLoops, int start) Attempt at fitting an AAM to an image using the currently selected method
Template	GLAAM.fitAAM(java.awt.Image subject, Template template, float scale, int maxIts, int maxLoops, int start) Attempt at fitting an AAM to an image using the currently selected method
Template	MultiscaleAAM.fitAAM(java.awt.Image subject, Template template, int maxIts, int maxLoops, int start) Fit a multiscale AAM
Template	MultiscaleOpenGLAAM.fitAAM(java.awt.Image subject, Template template, int maxIts, int maxLoops, int start) Fit the AAM to an image
Template	AAM.fitAAMappearance(java.awt.Image subject, Template template, float scale, int maxIts, int start) Attempt at fitting an AAM to an image using the APPEARANCE method
Template	GLAAM.fitAAMappearance(java.awt.Image subject, Template template, float scale, int maxIts, int start) Attempt at fitting an AAM to an image using the APPEARANCE method
Template	AAM.fitAAMSimultaneous(java.awt.Image subject, Template template, float scale, int maxIts, int maxLoops, int start) Attempt at fitting an AAM to an image using the SIMULTANEOUS method
Template	GLAAM.fitAAMSimultaneous(java.awt.Image subject, Template template, float scale, int maxIts, int maxLoops, int start) Attempt at fitting an AAM to an image using the SIMULTANEOUS method
Template	AAM.fitAAMspan(java.awt.Image subject, Template template, float scale, int maxIts, int start) Attempt at fitting an AAM to an image using the SPAN method
Template	GLAAM.fitAAMspan(java.awt.Image subject, Template template, float scale, int maxIts, int start) Attempt at fitting an AAM to an image using the SPAN method
Template	AAM.fitCAAM(java.awt.Image subject, Template template, float scale, int maxIts, int maxLoops, int start) Attempt at fitting an AAM to an image using the CAAM method
Template	GLAAM.fitCAAM(java.awt.Image subject, Template template, float scale, int maxIts, int maxLoops, int start) Attempt at fitting an AAM to an image using the CAAM method
Template	AAM.fitCAAMshape(java.awt.Image subject, Template template, float scale, int maxIts, int start) Attempt at fitting an AAM to an image using the CAAMSHAPE method
Template	GLAAM.fitCAAMshape(java.awt.Image subject, Template template, float scale, int maxIts, int start) Attempt at fitting an AAM to an image using the CAAMSHAPE method
FloatImage	CLM.getStrip(Template tem, FloatImage fimg, java.awt.Rectangle rect) Gets the patches from all points arranged in a strip
FloatImage[]	CLMLR.getStrip(Template tem, FloatImage fimg, java.awt.Rectangle rect, int minOffset, int maxOffset) Gets the patches from all points arranged in a strip
FloatImage[]	CLMSVM.getStrip(Template tem, FloatImage fimg, java.awt.Rectangle rect, int minOffset, int maxOffset) Gets the patches from all points arranged in a strip

Constructors in Facemorph.aam with parameters of type Template

AAMTracker(Template template, Mask mask, ASM asm, PCI pci, java.lang.String fileRoot, java.lang.String url)
Creates a new instance of AAMTracker

CAAMPowell(Mask mask, PCA pca, PCI pci, java.awt.Image subject, Template template)
Constructor for CAAMPowell

Uses of Template in Facemorph.glmorph

Fields in Facemorph.glmorph declared as Template

protected Template

IO.temp The Template

Methods in Facemorph.glmorph that return Template

Template

JMorphApplet.autoDelineate(java.awt.Image subjectImage, java.awt.Point[] points) Method to autodelineate a new image, using 3 points specified by the user.

Methods in Facemorph.glmorph with parameters of type Template

void	HardwareMorph.setData(java.awt.Image leftImage, Template leftTemplate, java.awt.Image rightImage, Template rightTemplate) Set the morphing data
void	HardwareTransform.setData(java.awt.Image subjectImage, Template subjectTemplate, java.awt.Image leftImage, Template leftTemplate, java.awt.Image rightImage, Template rightTemplate, float min, float max) Sets the transform data
void	HardwareTransformNoAccum.setData(java.awt.Image subjectImage, Template subjectTemplate, java.awt.Image leftImage, Template leftTemplate, java.awt.Image rightImage, Template rightTemplate, float min, float max) Sets the transform data
void	IO.setTemplate(Template temp) Set the Template

Uses of Template in Facemorph.mdl

Methods in Facemorph.mdl that return Template

Template

SpecificityTemplateTest.makeRandom(int comps) Makes a random Template from the model

Methods in Facemorph.mdl that return types with arguments of type Template

java.util.ArrayList<Template>	TemplatePatchMDL.getTemplates() Get the template array
java.util.ArrayList<Template>	multiScaleEdgeMDL.getTemplates(Template tem) Apply the estimated warps to the give Template
java.util.ArrayList<Template>	multiScaleEdgeMDLFile.getTemplates(Template tem) Warp the given template using the current warping functions

Methods in Facemorph.mdl with parameters of type Template

double	SpecificityTemplateTest.calculateError(Template tem1, Template tem2) Calculates the error between two Templates
static void	multiScaleEdgeMDLFile.createTemplates(Template tem, java.lang.String baseDir, java.util.ArrayList<java.lang.String> outNames) Warps the given templates into a set of templates and writes the results to disk
static void	multiScaleEdgeMDLFile.createTemplates(Template tem, java.lang.String baseDir, java.util.ArrayList<java.lang.String> imageNames, java.util.ArrayList<java.lang.String> outNames) Warps the given templates into a set of templates and writes the results to disk
double	SpecificityTemplateTest.findMinError(Template testTem) Find the minimum error from the set of Templates
java.util.ArrayList<Template>	multiScaleEdgeMDL.getTemplates(Template tem) Apply the estimated warps to the give Template
java.util.ArrayList<Template>	multiScaleEdgeMDLFile.getTemplates(Template tem) Warp the given template using the current warping functions

Method parameters in Facemorph.mdl with type arguments of type Template

static void

MDL2D.readImagesAndTemplates(java.lang.String listFile, java.util.ArrayList<java.awt.image.BufferedImage> images, java.util.ArrayList<Template> templates) Read the images and Template from a list file

Constructors in Facemorph.mdl with parameters of type Template

SpecificityCombinedTest(java.util.ArrayList<java.awt.image.BufferedImage> bimages, java.util.ArrayList<java.lang.String> warpNames, Template average, Mask mask)
Constructor for SpecificityCombinedTestFile

SpecificityCombinedTestFile(java.util.ArrayList<java.lang.String> imageNames, java.util.ArrayList<java.lang.String> warpNames, Template average, Mask mask)
Constructor for SpecificityCombinedTestFile

SpecificityTemplateTest(java.util.ArrayList<java.lang.String> warpNames, Template average)
Constructs the test object

TemplatePatchMDL(java.util.ArrayList<java.awt.image.BufferedImage> images, Template template, int patchsize, int windowSize)
TemplatePatchMDL constructor

Uses of Template in Facemorph.oesf

Methods in Facemorph.oesf that return Template

Template	ORASM.delineate(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, double[] fit, ImageZoomPanel izp) Delineate using this ORASM using an exhaustive local search ELS based method
Template	ORASM.delineate(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate using this ORASM using an exhaustive local search ELS based method
Template	ORASM.delineateCLM(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate using this ORASM using an constrain local model (CLM) style search
Template	ORASM.delineateCQF(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate using this ORASM using an convex quadratic fitting (CQF) based method
Template	ORASM.delineateCQF(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp, int iterations, boolean tuning) Delineate using this ORASM using an convex quadratic fitting (CQF) based method
static Template	ORASM3D.to2D(Template3D t3d, java.util.ArrayList<java.lang.Boolean> active) Convert a 3D template to a 2d one

Methods in Facemorph.oesf with parameters of type Template

Template	ORASM.delineate(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, double[] fit, ImageZoomPanel izp) Delineate using this ORASM using an exhaustive local search ELS based method
Template	ORASM.delineate(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate using this ORASM using an exhaustive local search ELS based method
Template3D	ORASM3D.delineate(java.awt.image.BufferedImage bimg, Template template, ImageZoomPanel izp, boolean combine, boolean weighted, int iterations) Delineate an image using this 3D ORASM model
Template	ORASM.delineateCLM(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate using this ORASM using an constrain local model (CLM) style search
Template	ORASM.delineateCQF(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp) Delineate using this ORASM using an convex quadratic fitting (CQF) based method
Template	ORASM.delineateCQF(java.awt.image.BufferedImage bimg, HaarReader haar, Template template, ImageZoomPanel izp, int iterations, boolean tuning) Delineate using this ORASM using an convex quadratic fitting (CQF) based method
boolean	Template3D.fitTo2DOrtho(Template template, int width, int height, Vector3 centre, BigMat R, double[] T, double[] scale)
static Complex[]	OESF.getMultiResponse(Template tem, int[] plist, int[] dim) Get an idealised response image for all listed features in the Template

Uses of Template in Facemorph.psm

Methods in Facemorph.psm that return Template

Template

PSMNode.getFeatures(java.awt.image.BufferedImage bimg, HaarReader haar) Detect the deature in the image using this model

Methods in Facemorph.psm with parameters of type Template

double

PSMNode.shapeError(java.util.ArrayList<java.awt.geom.Point2D.Float> detectedPoints, Template template, int[] pointList) Find the RMS error

Uses of Template in Facemorph.psychomorph

Methods in Facemorph.psychomorph that return Template

Template	Average.getAverageTemplate() Get the average template
Template	PsychoMorphForm.getLeftTemplate() Get the left template
Template	PsychoMorphForm.getRightTemplate() Get the right template
Template	ImageZoomPanel.getTemplate() Return the Template

Methods in Facemorph.psychomorph that return types with arguments of type Template

java.util.ArrayList<Template>	Average.getTemplates() Get the set of templates to average
java.util.Stack<Template>	DelineatorForm.getTemplateUndoStack()
java.util.Stack<Template>	ImageZoomPanel.getUndoStack() Get the undo stack for templates

Methods in Facemorph.psychomorph with parameters of type Template

void	ImageZoomPanel.drawAverage(java.awt.Image img, Template tem, int i, int count)
void	PsychoMorphForm.drawAverage(java.awt.Image img, Template tem, int i, int count) Draw the (partial or completed) average on the right hand side
void	ImageZoomPanel.drawImage(java.awt.Image img, Template tem, boolean warped)
void	PsychoMorphForm.drawImage(java.awt.Image img, Template tem, boolean warped) Draw the image on the left side
static void	DelineatorForm.drawMaskOnImage(java.awt.image.BufferedImage original, Template template, Mask mask, java.awt.Color outside, int smooth, boolean invert) Draw the mask on the image
void	Average.setAverageTemplate(Template tem) Set the average template
void	ImageZoomPanel.setTemplate(Template t) Set teh Template
static boolean	DelineatorForm.writeImage(java.awt.Image img, java.io.File f, java.awt.Component parent, Template tem, boolean autoSaveTem) Write an image to file

Method parameters in Facemorph.psychomorph with type arguments of type Template

void	ImageZoomPanel.setUndoStack(java.util.Stack<Template> undoStack) Set the undo stack for templates

Constructors in Facemorph.psychomorph with parameters of type Template

Average(PsychoMorphForm parent, java.io.File f, boolean mrfTransform, Template avTem, boolean overlap)
Constructor for averages

ImageZoomPanel(java.awt.Image img, Template tmplt)
Constructor for Image Zoom Panel

Uses of Template in Facemorph.psychomorph.videomorph

Methods in Facemorph.psychomorph.videomorph that return Template

Template	VideoMorph.getTemplate1(int i) Get the ith template from set 1
Template	VideoMorph.getTemplate2(int i) Get the ith template from set 2

Methods in Facemorph.psychomorph.videomorph that return types with arguments of type Template

java.util.ArrayList<Template>

VideoMorph.getMorphTemplates() Get the templates, should only be called after getMorph

Method parameters in Facemorph.psychomorph.videomorph with type arguments of type Template

static void	VideoMorph.readImagesAndTemplates(java.lang.String listFile, java.util.ArrayList<java.awt.image.BufferedImage> images, java.util.ArrayList<Template> templates) Read images and templates from a file
void	VideoMorph.writeTemplates(java.util.ArrayList<Template> templates, java.lang.String outputRoot) Write the sequence templates

Uses of Template in Facemorph.tensor

Method parameters in Facemorph.tensor with type arguments of type Template

static Multilinear	Multilinear.getTemplateMultilinear(int[] dims, java.util.Vector<Template> templates, double maxvar) Get a MultiLinear object from the Templates
static Tensor	Tensor.getTemplateTensor(int[] dims, java.util.Vector<Template> templates) Get A Tensor from a set of Templates
static int[]	Multilinear.readImagesAndTemplates(java.lang.String listFile, java.util.Vector<Template> templates, java.util.Vector<java.awt.Image> images, java.util.Vector<java.lang.String> temNames, java.util.Vector<java.lang.String> imgNames) Read images and templates from a file