You are here: Geometric Operators > AffineWarper


Performs warping operations on the spatial coordinates of features. It is used to adjust a set of observed input features according to a spatial transform defined by a set of control vectors. This transformer computes an affine (scale, rotation, and offset) transformation based on Control vector features and applies this transformation to the Observed features to generate output, and produces good corrections when the entire set of Observed data requires a single transformation.

Each Control feature represents a control vector whose start point is at some location in the original Observed data space, and whose end point is at the corresponding location in the desired output data space. The control vector represents the correction required to go from the observed vertex to the desired vertex. (Control vectors with only one point are interpreted as a requirement that this location not change from the observed dataset to the reference dataset. This is often referred to as a tie point.)

Input Ports

Two sets of features must be routed into this transformer.

Output Ports


Not applicable.

Related Transformers

  • The RubberSheeter transformer provides similar functionality but applies a different transformation to each Observed vertex, depending on its distance to nearby Control vectors. This makes the RubberSheeter more appropriate for cases when the distortions in the data are not constant.
  • Please also see the Affiner, which performs an affine transformation on the coordinates of the feature.

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.

Transformer Categories

Geometric Operators

FME Licensing Level

FME Professional edition and above

Search FME Knowledge Center

Search for samples and information about this transformer on the FME Knowledge Center.


Tags Keywords: pointcloud