PCLStatisticalOutlierRemoval

MLModule

genre	PCLFilters
author	Wolf Spindler
package	FMEstable/PCL
dll	MLPCLFilters
definition	MLPCLFilters.def
see also	PCLRadiusOutlierRemoval, IntervalThreshold, PCLCropBox, PCLPointMemberArithmetic, PCLPassThrough, PCLBilateralFilter
inherits from	PCLModule
keywords	points, clouds, PCL, smooth, cleanup, noise, neighbourhood, neighborhood, statistics, filter

Purpose

Applies the pcl::StatisticalOutlierRemoval filter to the input point cloud and provides the filter result at the output. Indices of extracted points are also provided in the output base object. See pcl::StatisticalOutlierRemoval for details. This filter can be useful as a noise filter often.

Windows

Default Panel

Input Fields

inputPCLObject0

name: inputPCLObject0, type: MLBase

Connect the point cloud which shall be filtered by the module.

Output Fields

outputPCLObject0

name: outputPCLObject0, type: MLBase

Provides the result pcl::PointCloud if there is any, otherwise it will contain NULL output data. Indices of source points added to the output are also provided in the output base object.

Parameter Fields

Visible Fields

Status

name: status, type: String, persistent: no

see PCLModule.status

Mean K

name: meanK, type: Integer, default: 0

The number of nearest neighbors to use for mean distance estimation.

Stddev Mul Thresh

name: stddevMulThresh, type: Double, default: 1

The standard deviation multiplier for the distance threshold calculation.