rigid.registration: Apply a rigid registration tot data2 to align with the...

In ashtonwiens/gp.nonrigid.registration: An R package for rigid and nonrigid registration of spatial surfaces

Description

This function applied a rigid transformation, which is estimated as part of the Gaussian process model into which it is embedded.

Usage

rigid.registration(data1, data2, est.pars, init = NULL)

Arguments

data1	the fixed data set
data2	the moving data set
est.pars	a list of parameters used in the likelihood estimation, including the fixed smoothness of the Matern covariance function, the multiplicative penalty term tuning parameter lambd, the penalty type penalty.type, and box constraints lower.bounds and upper.bounds.

Value

The optimal Gaussian process (and transformation) parameters

ashtonwiens/gp.nonrigid.registration documentation built on April 11, 2020, 12:28 a.m.