Uses of Class
Facemorph.tensor.Tensor

Packages that use Tensor

Facemorph
Facemorph.tensor

Uses of Tensor in Facemorph

Methods in Facemorph with parameters of type Tensor

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
double[]	Template.getTensorandRBparameters(BigMat shapeModel, BigMat shapeAverage, Template average, Tensor shapeTensor) Analyses this Template using a tensor model
void	Template.reconstructTensorandRB(Tensor shapeTensor, Template average, double[] PCAandRBparams) Builds a Template from a set of Tensor and Rigid Body parameters and data

Uses of Tensor in Facemorph.tensor

Methods in Facemorph.tensor that return Tensor

static Tensor	Tensor.getImageTensor(int[] dims, java.util.Vector<java.awt.Image> images) Create a Tensor from a set of images
static Tensor	Tensor.getOuterProduct(double[][] vecs) Gets the outer product tensor from the array of vectors
static Tensor	Tensor.getOuterProductAppend1(double[][] vecs) Gets the outer product tensor when each parameter vector has 1 appended/prepended at the start
Tensor	Tensor.getRowAverage(int row) Gets the row average
static Tensor	Tensor.getTemplateTensor(int[] dims, java.util.Vector<Template> templates) Get A Tensor from a set of Templates
Tensor	Tensor.multiply(int i, BigMat M) multiply method for N-mode product with M along row i
Tensor	Tensor.reconstruct(BigMat[] U) Tensor reconstruction method
Tensor	Tensor.rowAverages(int dim, int dataDim, boolean subtract) Calculates the averages along rows indexed by dim
Tensor	Tensor.subtractAverage(int row) Subtract the row average from each element in that row

Methods in Facemorph.tensor with parameters of type Tensor

void	Tensor.addRowAverages(Tensor rowAvs, int dim, int dataDim) Add row average
void	Tensor.addRowAveragesInPlace(Tensor average, int row) Add the row average for each row to each element along that row
void	Tensor.copy(Tensor rhs) Copy another Tensor

Constructors in Facemorph.tensor with parameters of type Tensor

Multilinear(Tensor T, int dataDim, double maxvar)
Creates a new instance of Multilinear Performs PCA along each of the plane average vectors Replace residuals with best linear fit etc etc