Voronoi Based Tree Segmentation
Plugin : SimpleForestNom de classe : SF_StepSegmentationVoronoi
Description
Rather than computing the Voronoi regions for seeds, distance for the input points to the clustered seeds are computed.If a closest point pair between input and seeds has distance smaller than a threshold, the input point gets the ID of its closest seed point.
Paramètres
Paramètres de pré-configuration (non modifiables une fois l'étape ajoutée) :
it gets the according seed segment ID.
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.
- The cloud is scaled along the z axis with a [factor] of 0.3 ..
- If an input point has a distance to its closest seed point smaller than [threshold] 0.7700 (m)..
it gets the according seed segment ID.
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 : Scene Point Cloud
...
Vegetation Group (Group)
Vegetation Cloud (Item with points)
Result : Seed Point Cloud
...
Seed Group (Group)
Seed Clusters (Item with points)
Result : Scene Point Cloud
...
Vegetation Group (Group)
Vegetation Cloud (Item with points)
Result : Seed Point Cloud
...
Seed Group (Group)
Seed Clusters (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.