===== Preferences for Detectors ======

This page documents generic concepts about Point Cloud Detectors. \\
For specific documentation per Detector, see [[999:desktop:preferences:index|]].

===== 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.

=== Classified point cloud ===

Restrict or filter specified point cloud classes to be used for feature detection. 
  * Integer values, comma separated.
  * If no class is specified all classes are used, no class is excluded.

===== 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.