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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

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