statismoModelFromRepresenter: generate model from a representer using gaussian kernels

In zarquon42b/RvtkStatismo: Integrating statismo and R using the vtkStandardMeshRepresenter

Description

generate model from a representer using gaussian kernels

Usage

statismoModelFromRepresenter(representer, kernel = GaussianKernel(100, 50),
  ncomp = 10, nystroem = 500)

Arguments

representer	mesh3d or matrix used as representer
kernel	an object of class matrixKernel
ncomp	integer: number of PCs to approximate
nystroem	number of samples to compute Nystroem approximation of eigenvectors

Value

returns a shape model of class pPCA

Examples

require(Rvcg)
data(humface)
kernel1 <- GaussianKernel(80,50)
kernel2 <- GaussianKernel(20,20)
combinedKernel <- SumKernels(kernel1,kernel2)
hummodel <- statismoModelFromRepresenter(humface,combinedKernel)
## Not run: 
require(rgl)
for (i in 1:5) wire3d(DrawSample(hummodel),col=i)

## End(Not run)

zarquon42b/RvtkStatismo documentation built on May 4, 2019, 9:09 p.m.