PCLNormalEstimation

MLModule
genre PCLFeatures
author Wolf Spindler
package FMEstable/PCL
dll MLPCLFeatures
definition MLPCLFeatures.def
inherits from PCLModule
keywords points, clouds, PCL, normals, estimation

Purpose

Applies the pcl::NormalEstimation filter to the input point cloud and provides the filter result at the output. See pcl::NormalEstimation for details. Note that the type of the output point cloud currently is always of PointXYZINormal type due to implementation details. This may change in future.

Windows

Default Panel

../../../Projects/MLPCLFeatures/Modules/mhelp/Images/Screenshots/PCLNormalEstimation._default.png

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 (the default indices for all input points).

Parameter Fields

For the documentation of the filter parameters see pcl::NormalEstimation.

Visible Fields

Status

name: status, type: String, persistent: no

see PCLModule.status