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Preferences for Detectors

This page documents generic concepts about Point Cloud Detectors.
For specific documentation per Detector, see Preferences.

Concepts

Detectors: semi-automated and fully automated measurements. Preferences of Detectors define set of user parameters which can be changed depending on quality of input data and requirements for the output.
For semi-automated measurements changing of the parameters is applied immediately while for fully automated detectors values from Preferences are read only on new feature extraction Project creation.

Preset, Save and Share

  • Reset parameters back to default.
  • Save the parameters of the selected detector into an *.xml file.
  • Open to load an existing *.xml containing preferences for the selected Detector.

Algorithm

These parameters impact how detection algorithms work.

Output

These parameters impact only the final presentation of detected results.

Smoothing

A moving average algorithm can be used to smooth line features. The average of the 4 neighboring points and the current position are used to calculate an updated position of a point or vertex. We allow 6 levels of smoothing, which corresponds to how many times the moving average is used. Level 0 means no smoothing is done, level 5 means the line points are moved 5 times.

Get Point Cloud as Selection vs Resource

Export the feature point cloud points as a selection of main point cloud file, or as a new point cloud file.

 
Last modified:: 2023/04/13 10:21