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

Radius Search¶

name: radiusSearch, type: Double, default: 0.03¶: The sphere radius that is to be used for determining the nearest neighbors used for the feature estimation.