FME Transformers: 2024.1

Categories
Filters and Joins
Point Clouds
Related Transformers
PointCloudCombiner
PointCloudMerger
PointCloudSorter
PointCloudSplitter

PointCloudFilter

Separates point clouds into multiple features, based on evaluating expressions including component values, and creates a separate output port for each expression defined.

Jump to Configuration

Typical Uses

  • Separating a point cloud into parts based on expressions using component values
  • Isolating points in a point cloud based on expressions using component values

How does it work?

The PointCloudFilter receives point cloud features and divides them into individual point clouds, based on the evaluation of defined expressions, including component values. Each Expression has a corresponding Output Port.

One or more expressions may be defined. Each output point cloud will contain the points that matched that expression. Points that match more than one expression will be allocated to the first expression they match, in table order.

Points that do not match any expressions may be optionally output as <Unfiltered>. Empty point clouds will not be output.

Examples

Usage Notes

  • The PointCloudSplitter provides similar functionality. It can split point clouds with simple range expressions, automatically detecting unique values for a component or first/last return. It does not provide multiple output ports.

Choosing a Point Cloud Transformer

FME has a selection of transformers for working specifically with point cloud data.

For information on point cloud geometry and properties, see Point Clouds (IFMEPointCloud).

Configuration

Input Ports

Output Ports

Parameters

Editing Transformer Parameters

Transformer parameters can be set by directly entering values, using expressions, or referencing other elements in the workspace such as attribute values or user parameters. Various editors and context menus are available to assist. To see what is available, click beside the applicable parameter.

For more information, see Transformer Parameter Menu Options.

Reference

Processing Behavior

Feature-Based

Feature Holding

No

Dependencies None
Aliases  
History  

FME Community

The FME Community is the place for demos, how-tos, articles, FAQs, and more. Get answers to your questions, learn from other users, and suggest, vote, and comment on new features.

Search for all results about the PointCloudFilter on the FME Community.

 

Examples may contain information licensed under the Open Government Licence – Vancouver, Open Government Licence - British Columbia, and/or Open Government Licence – Canada.

Keywords: point "point cloud" cloud PointCloud LiDAR sonar