Uses of Class
Facemorph.Mask

Packages that use Mask

Facemorph
Facemorph.aam
Facemorph.mdl
Facemorph.psychomorph

Uses of Mask in Facemorph

Methods in Facemorph that return Mask

Mask	Mask.clone()

Methods in Facemorph with parameters of type Mask

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
BigMat	PCI.combine(PCI[] pci, Template targetShape, int targetWidth, int targetHeight, Mask mask) Builds a PCI by combining a set of PCIs
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.fitAAM(int warpType, java.awt.Image subject, java.awt.Image average, Mask mask, PCA pca, PCI pci) Fits a Template to this FloatImage using a multiscale method
void	Template.fitAAMappearance(int warpType, java.awt.Image subject, java.awt.Image averageImg, Mask mask, PCA pca, PCI pci, float scale) Attempt at fitting an AAM to an image using efficient reverse method, includes colour information
void	Template.fitAAMbayesian(int warpType, java.awt.Image subject, java.awt.Image averageImg, Mask mask, PCA pca, PCI pci, float scale) Attempt at fitting an AAM to an image using efficient reverse method, includes colour information
void	Template.fitAAMforward(java.awt.Image subjectImg, java.awt.Image averageImg, Mask mask, PCA pca, PCI pci, float scale) Attempt at fitting an AAM to an image using inefficient, but more reliable forward method, includes colour information
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!
int	Template.fitAAMspan(int warpType, java.awt.Image subject, java.awt.Image averageImg, Mask mask, PCA pca, PCI pci, FloatImage[] smallPCIcomps, float scale, int counter) Attempt at fitting an AAM to an image using efficient reverse method, colour information is projected out
int	Template.fitAAMspanLM(int warpType, java.awt.Image subject, java.awt.Image averageImg, Mask mask, PCA pca, PCI pci, float scale, int counter) Attempt at fitting an AAM to an image using efficient reverse method, includes colour information
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
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
FloatImage[][]	PCI.getIntersection(PCI pci, Mask mask) Gets the intersection or closest point between two PCIs
FloatImage[][]	PCI.getIntersectionIterative(PCI pci, Mask mask) Gets the intersection or closest point between two PCIs
java.awt.Polygon	Template.getMask(Mask msk) Constructs a masking polygon from this Template and Mask
java.awt.Polygon	Template.getMask(Mask msk, int xoff, int yoff, float zoom) Constructs a masking polygon from this Template and Mask
FloatImage	Template.getMask(Mask mask, int w, int h, float min, float max) Constructs a FloatImage with values of 0 (masked) and max (not masked)
BigMat	PCI.getReduced(PCI pci, float[] filter, int m, Mask mask) Shrinks by a factor of 2 using filter to downsample
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
java.awt.Image	Template.maskImage(java.awt.Image img, Mask mask, java.awt.Color col, boolean reverse) Masks an image using the mask object specified/
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
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
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.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_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.
BigMat	PCI.warp(Template targetShape, int targetWidth, int targetHeight, Mask mask) Warps this PCI into targetShape

Constructors in Facemorph with parameters of type Mask

MDL(java.lang.String listFile, int w, int h, Mask mask, double var)
Creates a new instance of MDL

Uses of Mask in Facemorph.aam

Methods in Facemorph.aam with parameters of type Mask

static void

CAAMPowell.test(java.lang.String listFile, java.lang.String resFile, PCI pci, PCA pca, Mask mask) Test method

Constructors in Facemorph.aam with parameters of type Mask

AAM(Mask mask, ASM asm, PCI pci, int type, int warpType)
Creates a new instance of AAM

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

GLAAM(Mask mask, ASM asm, PCI pci, int type)
Creates a new instance of AAM

GLAAM(Mask mask, ASM asm, PCI pci, int type, javax.media.opengl.GLAutoDrawable canv)
Creates a new instance of AAM

MultiscaleAAM(Mask mask, ASM asm, PCI pci, int type, int warpType)
Creates a new instance of MultiscaleAAM

MultiscaleOpenGLAAM(Mask mask, ASM asm, PCI pci, int type)
Creates a new instance of MultiscaleAAM

MultiscaleOpenGLAAM(Mask mask, ASM asm, PCI pci, int type, javax.media.opengl.GLAutoDrawable canvas)
Creates a new instance of MultiscaleAAM

Uses of Mask in Facemorph.mdl

Constructors in Facemorph.mdl with parameters of type Mask

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

Uses of Mask in Facemorph.psychomorph

Methods in Facemorph.psychomorph that return Mask

Mask	ImageZoomPanel.getMask() Get the current Mask

Methods in Facemorph.psychomorph with parameters of type Mask

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	ImageZoomPanel.setMask(Mask mask) Set the mask