vcgSample: Subsamples points on a mesh surface

In Rvcg: Manipulations of Triangular Meshes Based on the 'VCGLIB' API

Subsamples points on a mesh surface

Description

Subsamples surface of a triangular mesh and returns a set of points located on that mesh

Usage

vcgSample(
  mesh,
  SampleNum = 100,
  type = c("km", "pd", "mc"),
  MCsamp = 20,
  geodes = TRUE,
  strict = FALSE,
  iter.max = 100,
  threads = 0
)

Arguments

mesh	triangular mesh of class 'mesh3d'
SampleNum	integer: number of sampled points (see details below)
type	character: seclect sampling type ("mc"=MonteCarlo Sampling, "pd"=PoissonDisk Sampling,"km"=kmean clustering)
MCsamp	integer: MonteCarlo sample iterations used in PoissonDisk sampling.
geodes	logical: maximise geodesic distance between sample points (only for Poisson Disk sampling)
strict	logical: if type="pd" and the amount of coordinates exceeds SampleNum, the resulting coordinates will be subsampled again by kmean clustering to reach the requested number.
iter.max	integer: maximum iterations to use in k-means clustering.
threads	integer number of threads to use for k-means clustering

Details

Poisson disk subsampling will not generate the exact amount of coordinates specified in SampleNum, depending on MCsamp the result will contain more or less coordinates.

Value

sampled points

Examples

data(humface)
ss <- vcgSample(humface,SampleNum = 500, type="km",threads=1)
## Not run: 
require(rgl)
points3d(ss)

## End(Not run)

Rvcg documentation built on Sept. 30, 2024, 9:39 a.m.