PCLRadiusOutlierRemoval

MLModule

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

Purpose

Applies the pcl::RadiusOutlierRemoval filter to the input point cloud and provides the filter result at the output. Indices of source points added to the output are also provided in the output base object. See pcl::RadiusOutlierRemoval 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 extracted points are also provided in the output base object.

Parameter Fields

Visible Fields

Status

name: status, type: String, persistent: no

see PCLModule.status

Radius Search

name: radiusSearch, type: Float, default: 0

The radius of the sphere that will determine which points are neighbors. The number of points within this distance from the query point will need to be equal or greater than Min Neighbors In Radius in order to be classified as an inlier point (i.e. will not be filtered).

Min Neighbors In Radius

name: minNeighborsInRadius, type: Integer, default: 1

The number of neighbors that need to be present in order to be classified as an inlier. The number of points within Radius Search from the query point will need to be equal or greater than this number in order to be classified as an inlier point (i.e. will not be filtered).