creates a StatisticalMeshModel by discretizing the given Gaussian Process on the points of the reference mesh.
Adds a bias model to the given statistical shape model
Returns a PCA model with given reference mesh and a set of items in correspondence.
Returns a PCA model with given reference mesh and a set of items in correspondence. All points of the reference mesh are considered for computing the PCA
Creates a new DiscreteLowRankGaussianProcess, where the mean and covariance matrix are estimated from the given transformations.