StatisticalOutlierRemoval

https://pointclouds.org/documentation/classpcl_1_1_statistical_outlier_removal.html

StatisticalOutlierRemoval uses point neighborhood statistics to filter outlier data.

Constructor

new PCL.StatisticalOutlierRemoval(pointType, removed);

Parameters:

Name	Type	Default	Description
pointType	PointType	`PointXYZ`	The point cloud type.
extractRemovedIndices	`boolean`	`false`	Initializing with true will allow us to extract the removed indices.

setMeanK(nrK);

Set the number of nearest neighbors to use for mean distance estimation.

Parameters:

Name	Type	Default	Description
nrK	`number`		The number of points to use for mean distance estimation.

getMeanK();

setStddevMulThresh(stddevMult);

Set the standard deviation multiplier for the distance threshold calculation.

Parameters:

Name	Type	Default	Description
minPts	`number`		The standard deviation multiplier.

getStddevMulThresh();