mesh.smooth.tool: mesh.smooth.tool

In Arothron/ctrlR: Functions used in my PhD thesis

Description

This function find the optimal smoothing algorithm setting giving a mesh using the mesh distance as estimator.

Usage

mesh.smooth.tool(sur, algorithms = c("taubin", "angweight", "fujilaplace",
  "laplace", "hclaplace"), iter = 10, tarface = 10000, deltaFJ = NULL,
  deltaAW = NULL, lambda = NULL, tau = 0.01, lambda.levels = 5,
  deltaFJ.levels = 5, deltaAW.levels = 5, lambda.start = 0.95,
  deltaFJ.start = 0.95, deltaAW.start = 0.95, lambda.f = 0.99,
  deltaFJ.f = 0.99, deltaAW.f = 0.99, lambda.iter = 70,
  l.lambda.iter = 7, deltaFJ.iter = 70, l.deltaFJ.iter = 7,
  deltaAW.iter = 70, l.deltaAW.iter = 7, iter_scale_tau = 1,
  iter_scale_fuj = 1, iter_scale_ang = 1, noise = 0.075, sel = c(0, 1,
  3, 5, 6))

Arguments

sur	triangular mesh stored as object of class "mesh3d"
algorithms	character: algorithm types stored in Morpho::vcgSmooth
iter	numeric: number of smoothing iterations (raccomended no more than 10 iteration)
tarface	numeric: target of triangle number
deltaFJ	numeric: setting values for deltaFJ (if NULL automatic estimation well be done)
deltaAW	numeric: setting values for deltaAW (if NULL automatic estimation well be done)
lambda	numeric: setting values for lambda (if NULL automatic estimation well be done)
tau	numeric: mu value for "taubin" algorithm
lambda.levels	numeric: length range lambda
deltaFJ.levels	numeric: length range deltaFJ
deltaAW.levels	numeric: length range deltaAW
lambda.start	numeric: upper value lambda smoothing range
deltaFJ.start	numeric: upper value deltaFJ smoothing range
deltaAW.start	numeric: upper value deltaAW smoothing range
lambda.f	numeric: factor for estimation lambda
deltaFJ.f	numeric: factor for estimation deltaFJ
deltaAW.f	numeric: factor for estimation deltaAW
lambda.iter	numeric: iteration for lambda estimation
l.lambda.iter	numeric: interval for lambda.iter
deltaFJ.iter	numeric: iteration for deltaFJ estimation
l.deltaFJ.iter	numeric: interval for deltaFJ estimation
deltaAW.iter	numeric: iteration for deltaAW estimation
l.deltaAW.iter	numeric: interval for deltaAW estimation
iter_scale_tau	numeric: iter used in scale factor estimation for taubin algorithm
iter_scale_fuj	numeric: iter used in scale factor estimation for fujilaplace algorithm
iter_scale_ang	numeric: iter used in scale factor estimation for angweight algorithm
noise	numeric: sd deviation to defin vertex shifting
sel	numeric vector: nteger vector selecting cleaning type

Value

matrix matrix: matrix with all result (absolute sum of mesh distance) for smoothing setting iteration

noise.dist numeric: absolute sum of mesh distance between the model (or decimated mesh) and its noised version

tau.par numeric vector: lambda scale factor values

fuj.par numeric vector: deltaFJ scale factor values

ang.par numeric vector: deltaAW scale factor values

Author(s)

Antonio Profico

Examples

## Not run: 
#load the example 1: mesh, and L set
data(exp.venus.mesh)
run.tool=mesh.smooth.tool(sur=venus.mesh,tarface=NULL,noise=0.075)
run.tool.dec= mesh.smooth.tool(sur=venus.mesh,tarface=NULL, noise=0.075,lambda=run.tool$tau.par,delta_AW=run.tool$ang.par)

## End(Not run)

Arothron/ctrlR documentation built on May 5, 2019, 8:12 a.m.