A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

N

ncc(double[], double[]) - Static method in class Facemorph.aam.CAAMSolver

Calculates the dot product between two arrays of equal length

ncc(FloatImage) - Method in class Facemorph.FloatImage

Calculates the normalised cross correlation (NCC) with fimg

ncc(FloatImage, FloatImage) - Method in class Facemorph.FloatImage

Calculates the normalised cross correlation (NCC) with fimg using only the masked regions

ncc(double[], double[]) - Static method in class Facemorph.psm.PSM

The normalised cross correlation

ncc(double[], double[]) - Static method in class Facemorph.psm.PSMNode

The normalised cross correlation

nccPatch(FloatImage, int, int) - Method in class Facemorph.FloatImage

Calculates the normalised cross correlation (NCC) with fimg

nccPatchArray(FloatImage) - Method in class Facemorph.FloatImage

Calculates the normalised cross correlation (NCC) with fimg

nccPatches(FloatImage) - Method in class Facemorph.FloatImage

Calculates the normalised cross correlation (NCC) with fimg

newline() - Method in class Facemorph.ClientHttpRequest

Writes a newline character (\r\n) to the output stream, opening the output stream if required

nextGeneration() - Method in class Facemorph.condensation.SimpleCondensation

Construct the next generation.

nextQuotedString(Scanner) - Static method in class Facemorph.oesf.OESF

Scans a quoted string value from the scanner input.

NO_NORMALISATION - Static variable in class Facemorph.ASM

Indicates no normalisation

noColumns - Variable in class Facemorph.CSVFile

noContours() - Method in class Facemorph.Template

noRecords - Variable in class Facemorph.CSVFile

normalise(FloatImage) - Method in class Facemorph.FloatImage

Adjusts this image to have the same mean and s.d.

normalise(FloatImage, FloatImage) - Method in class Facemorph.FloatImage

Adjusts this image to have the same mean and s.d.

normalise(float, float) - Method in class Facemorph.FloatImage

Adjusts this image to have the specified mean and s.d.

normalise(float, float, FloatImage) - Method in class Facemorph.FloatImage

Adjusts this image to have the specified mean and s.d.

normalise() - Method in class Facemorph.GMM

Forces the sum of weights to equal 1.0

normalise(double[]) - Static method in class Facemorph.GMM

Forces the sum of weights to equal 1.0

normalise(double[], int) - Static method in class Facemorph.pga.MultiSpherePGA

Subtract the mean of the sub-vector's coords and normlise length to 1

normalise(double[]) - Static method in class Facemorph.PGA

Subtract the mean of the vector's coords and normlise length to 1

normalise(double[]) - Static method in class Facemorph.pga.SpherePGA

Subtract the mean of the vector's coords and normlise length to 1

normalise() - Method in class Facemorph.psm.DiagonalEMFeature

normalise() - Method in class Facemorph.psm.DiagonalGaussianFeature

normalise() - Method in class Facemorph.psm.DiagonalGMM

Forces the sum of weights to equal 1.0

normalise(ArrayList<Double>) - Static method in class Facemorph.psm.DiagonalGMM

Forces the sum of weights to equal 1.0

normalise() - Method in class Facemorph.psm.DiagonalGMMFeature

normalise() - Method in class Facemorph.psm.EMFeature

normalise() - Method in interface Facemorph.psm.Feature

Normalise the feature models if needed at the end of training

normalise() - Method in class Facemorph.psm.OESFFeature

normalise() - Method in class Facemorph.psm.PatchFeature

Perform any normalisation at the end of training

normalise() - Method in class Facemorph.Template

Normalise the mean to zero and the magnitude to 1

normaliseColours(Template, Mask, BufferedImage, BufferedImage) - Static method in class Facemorph.Transformer

Normalise the mean and standard deviation of colours in the masked area

normaliseColumns() - Method in class Facemorph.BigMat

Normalise the columns of this matrix

normalisedScalarProduct(double[], double[]) - Static method in class Facemorph.tensor.Tensor

Normalised scalar product

normaliseEyes(Template, Template) - Method in class Facemorph.PCA

Rotates this PCA so that it aligns with the new average

normaliseEyes(Point2D.Float, Point2D.Float, int, int) - Method in class Facemorph.Template

Normalise the rotation, translation and scale so that two specified points are in a given place

normaliseEyes(Template) - Method in class Facemorph.Template

Performs 2 point normalisation using points 0 and 1

normaliseEyes(Template, int[]) - Method in class Facemorph.Template

Performs 2 point normalisation using the points indicated in the normPoints array

normaliseRows() - Method in class Facemorph.BigMat

Normalise the rows of this matrix

normaliseSampleWeights(Vector) - Static method in class Facemorph.GMM

Normalise the sample weights to have sum of 1

normaliseSampleWeights(Vector) - Static method in class Facemorph.psm.DiagonalGMM

Normalise the sample weights to have sum of 1

normaliseSampleWeights(Vector, Vector<Double>) - Static method in class Facemorph.psm.DiagonalGMM

Normalise the sample weights to have sum of 1

normaliseSampleWeights2(Vector) - Static method in class Facemorph.GMM

Normalise the sample weights so that the most likely Gaussian has weight 1 and all the rest have weight zero

normaliseSampleWeights2(Vector) - Static method in class Facemorph.psm.DiagonalGMM

Normalise the sample weights so that the most likely DiagonalGaussian has weight 1 and all the rest have weight zero

normalize(URL) - Static method in class Facemorph.psychomorph.ClasspathInspector

Try to normalise a URL

NULL - Static variable in class Facemorph.TessGen

NULL - Static variable in class Facemorph.TessGen3D

Define NULL for C to Java port

Numerical - Class in Facemorph

Some numberical methods

Numerical() - Constructor for class Facemorph.Numerical

Creates a new instance of Numerical

numTriangles - Variable in class Facemorph.glmorph.IO

Number of triangles

numVertex - Variable in class Facemorph.glmorph.IO

Number of vertices