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

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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.


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).


Input Ports

Output Ports


Editing Transformer Parameters

Using a set of menu options, transformer parameters can be assigned by referencing other elements in the workspace. More advanced functions, such as an advanced editor and an arithmetic editor, are also available in some transformers. To access a menu of these options, click beside the applicable parameter. For more information, see Transformer Parameter Menu Options.

Defining Values

There are several ways to define a value for use in a Transformer. The simplest is to simply type in a value or string, which can include functions of various types such as attribute references, math and string functions, and workspace parameters. There are a number of tools and shortcuts that can assist in constructing values, generally available from the drop-down context menu adjacent to the value field.

Dialog Options - Tables

Transformers with table-style parameters have additional tools for populating and manipulating values.


Processing Behavior


Feature Holding


Dependencies None

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 and/or the Open Government Licence – Canada.

Keywords: point "point cloud" cloud PointCloud LiDAR sonar