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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 visualization or presentation of results.
Smoothing
A moving average algorithm is used to smooth line features. The average of neighboring points is used to pull a point to a new location. 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.