Cargando…
Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping
BACKGROUND: Laserscanning recently has become a powerful and common method for plant parameterization and plant growth observation on nearly every scale range. However, 3D measurements with high accuracy, spatial resolution and speed result in a multitude of points that require processing and analys...
Autores principales: | Paulus, Stefan, Dupuis, Jan, Mahlein, Anne-Katrin, Kuhlmann, Heiner |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3750309/ https://www.ncbi.nlm.nih.gov/pubmed/23890277 http://dx.doi.org/10.1186/1471-2105-14-238 |
Ejemplares similares
-
Automated interpretation of 3D laserscanned point clouds for plant organ segmentation
por: Wahabzada, Mirwaes, et al.
Publicado: (2015) -
Low-Cost 3D Systems: Suitable Tools for Plant Phenotyping
por: Paulus, Stefan, et al.
Publicado: (2014) -
Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis
por: Schunck, David, et al.
Publicado: (2021) -
Accuracy Analysis of a Multi-View Stereo Approach for Phenotyping of Tomato Plants at the Organ Level
por: Rose, Johann Christian, et al.
Publicado: (2015) -
Datasets of captured images of three different devices for photogrammetry calculation comparison and integration into a laserscan point cloud of a built environment
por: Hellmuth, René, et al.
Publicado: (2020)