miniSQmodel: minimize mean squared distance between model and a...

In zarquon42b/mesheR: Meshing Operations on Triangular Meshes

minimize mean squared distance between model and a point-cloud with correspondences

Description

minimize mean squared distance between model and a point-cloud with correspondences

Usage

miniSQmodel(
  clost,
  model,
  iterations = 10,
  initpar = NULL,
  use = NULL,
  sdmax = NULL,
  mahaprob = c("none", "chisq", "dist"),
  ...
)

Arguments

clost	matrix or mesh3d
model	statismo model of class pPCA
iterations	integer: max number of iterations passed to lbfgs
initpar	initial estimate of the model parameters
use	integer vector: which points to use
sdmax	constrain parameters (normalized PC-scores) to be within +- sdmax
mahaprob	character: if != "none", use mahalanobis-distance to determine overall probability (of the shape projected into the model space."chisq" uses the Chi-Square distribution of the squared Mahalanobisdistance, while "dist" restricts the values to be within a multi-dimensional sphere of radius sdmax. If FALSE the probability will be determined per PC separately.
...	additional parameters to be passed to lbfgs.

Value

par	the model's parameters
mesh	the fitted mesh

zarquon42b/mesheR documentation built on Jan. 28, 2024, 2:17 p.m.