Euclidean Clustering Filter
Plugin : SimpleForestNom de classe : SF_StepEuclideanClusteringFilter
Description
Euclidean clustering filter - This filter clusters an input cloud with a user given clustering range. Only a user specified number of clusters containing more than min and less than max points are merged into one output, the other points are considered noise.
Paramètres
Paramètres de pré-configuration (non modifiables une fois l'étape ajoutée) :
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.
- First the cloud is downscaled to a [voxel size] of 0.020 (m). .
- Then an euclidean clustering routine is performed with a [range] of 0.050 (m)..
- A good cluster has to contain more than [minimum percentage] 0.000 ..
- A good cluster has to contain less than [maximum percentage] 100.000 ..
- A good cluster has to have a larger extension than [minimum extension] 0.015 (m)..
- Only the first [n]: 1 largest clusters are merged into the output..
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.