Automatic 3D plant reconstruction from photographies, segmentation and classification of leaves and internodes using clustering.

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dc.contributorTHIAGO TEIXEIRA SANTOS, CNPTIA; JULIO UEDA.
dc.creatorSANTOS, T. T.
dc.creatorUEDA, J.
dc.date2014-02-06T11:11:11Z
dc.date2014-02-06T11:11:11Z
dc.date2014-02-06
dc.date2013
dc.date2020-01-22T11:11:11Z
dc.date.accessioned2026-07-07T04:13:28Z
dc.descriptionHighlights: A stereo approach for 3D plant modelling is presented. Using only a set of photographies, the method produces a dense 3D point cloud that samples the plant surface. Clustering automatically segments the plant structure into meaningful parts, which are classified as leaves or internodes. Measurements can be computed for each element, as area or surface normals.
dc.descriptionFSPM 2013.
dc.formatp. 95-97.
dc.identifierIn: INTERNATIONAL CONFERENCE ON FUNCTIONAL-STRUCTURAL PLANT MODELS, 7., 2013, Saariselkä. Proceedings... Vantaa: Finnish Society of Forest Science, 2013.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/978995
dc.identifier.urihttp://hdl.handle.net/123456789/454558
dc.languageeng
dc.rightsopenAccess
dc.subjectModelagem de planta
dc.subjectModelo de plantas
dc.subjectReconstrução baseada em imagens
dc.subjectModels
dc.titleAutomatic 3D plant reconstruction from photographies, segmentation and classification of leaves and internodes using clustering.
dc.typeResumo em anais e proceedings

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