Segmentation Euclidean Clustering
Plugin : SimpleForestNom de classe : SF_EuclideanClusteringSegmentationStep
Description
Performs an Euclidean Clustering Operation to produce Segmentation Seeds.
Paramètres
Paramètres de pré-configuration (non modifiables une fois l'étape ajoutée) :
All input clusters are merged in a preprocessing routine.
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:
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- Uncheck to deactivate parameterization possibilities of this step. Only recommended for beginners: Activé.
All input clusters are merged in a preprocessing routine.
- The cloud is firstly downscaled with [voxel size] 0.0400 (m)..
- Then an euclidean clustering routine is performed with [range] 0.1000 (m)..
- A cluster has to contain at minimum [n] 1 points..
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:
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Données d'entrée
Structure des données d'entrée recherchées :
Result : Point Result
...
Input Cloud Group (Group)
Point Cloud (Item with points)
Result : Point Result
...
Input Cloud Group (Group)
Point Cloud (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.