MR::ImproveSamplingSettings Struct Reference

#include <MRImproveSampling.h>

Public Attributes
int	numIters = 1
	the number of algorithm iterations to perform
int	minPointsInSample = 1
VertMap *	pt2sm = nullptr
	optional output: mapping from input point id to sample id
PointCloud *	cloudOfSamples = nullptr
	optional output: new cloud containing averaged points and normals for each sample
Vector< int, VertId > *	ptsInSm = nullptr
	optional output: the number of points in each sample
const VertColors *	ptColors = nullptr
	optional input: colors of input points
VertColors *	smColors = nullptr
	optional output: averaged colors of samples
ProgressCallback	progress
	output progress status and receive cancel signal

Member Data Documentation

cloudOfSamples

PointCloud* MR::ImproveSamplingSettings::cloudOfSamples = nullptr

optional output: new cloud containing averaged points and normals for each sample

minPointsInSample

int MR::ImproveSamplingSettings::minPointsInSample = 1

if a sample represents less than this number of input points then such sample will be discarded; it can be used to remove outliers

numIters

int MR::ImproveSamplingSettings::numIters = 1

the number of algorithm iterations to perform

progress

ProgressCallback MR::ImproveSamplingSettings::progress

output progress status and receive cancel signal

pt2sm

VertMap* MR::ImproveSamplingSettings::pt2sm = nullptr

optional output: mapping from input point id to sample id

ptColors

const VertColors* MR::ImproveSamplingSettings::ptColors = nullptr

optional input: colors of input points

ptsInSm

Vector<int, VertId>* MR::ImproveSamplingSettings::ptsInSm = nullptr

optional output: the number of points in each sample

smColors

VertColors* MR::ImproveSamplingSettings::smColors = nullptr

optional output: averaged colors of samples

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The documentation for this struct was generated from the following file:

• MRImproveSampling.h