Statistical Outlier Filter
Plugin : SimpleForestNom de classe : SF_StepStatisticalOutlierRemoval
Description
Statistical Outlier Filter - Frontend to PCL filter. This step detects noise by analysing the density of each points neighborhood. Regions containing a small amount of point are likely to be tagged as noise. Can be repeated iteretivaly. A really high number of iterations (~50) combined with a high standard deviation multiplier (>= 4) performs most robust.
Paramètres
Paramètres de pré-configuration (non modifiables une fois l'étape ajoutée) :
The average distance to the neighbor points is computed for each point.
times the standarddeviation of the average distance are considered noise. As the point distribution changes after an execution, the procedure can be repeated multiple times.
Please excuse potential double citation with the step related citation for the
following general citation for SimpleForest (work on updated citable resource ongoing):
A majority of implementations are based on PCL library:
------------------------------------------------------------------------------
- Uncheck to deactivate parameterization possibilities of this step. Only recommended for beginners: Activé.
- Looks for each point at its [n]: 2 closest neighbors.
The average distance to the neighbor points is computed for each point.
- Assuming a normal distribution for all distances, all points further away from the average distance than [factor]: 4.0000 .
times the standarddeviation of the average distance are considered noise. As the point distribution changes after an execution, the procedure can be repeated multiple times.
- Please select the number of [iterations]: 15 for the procedure.
Please excuse potential double citation with the step related citation for the
following general citation for SimpleForest (work on updated citable resource ongoing):
A majority of implementations are based on PCL library:
------------------------------------------------------------------------------
Données d'entrée
Structure des données d'entrée recherchées :
Result : Point Cloud
...
Group to be denoised (Group)
Cloud to be denoised (Item with points)
Result : Point Cloud
...
Group to be denoised (Group)
Cloud to be denoised (Item with points)
Références
Hackenberg Jan, Spiecker Heinrich, Calders Kim, Disney Mathias, Raumonen Pasi. 2015. SimpleTree - an efficient open source tool to build tree models from TLS clouds. Multidisciplinary Digital Publishing Institute. Forests.
Rusu Radu Bogdan, Cousins Steve. 2011. 3d is here: Point cloud library (pcl). IEEE. Robotics and Automation (ICRA), 2011 IEEE International Conference on.
Rusu Radu Bogdan, Cousins Steve. 2011. 3d is here: Point cloud library (pcl). IEEE. Robotics and Automation (ICRA), 2011 IEEE International Conference on.