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

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

int MR::ImproveSamplingSettings::numIters = 1

the number of algorithm iterations to perform

ProgressCallback MR::ImproveSamplingSettings::progress

output progress status and receive cancel signal

VertMap* MR::ImproveSamplingSettings::pt2sm = nullptr

optional output: mapping from input point id to sample id

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

optional input: colors of input points

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

optional output: the number of points in each sample

VertColors* MR::ImproveSamplingSettings::smColors = nullptr

optional output: averaged colors of samples

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