Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/978995
Title: Automatic 3D plant reconstruction from photographies, segmentation and classification of leaves and internodes using clustering.
Authors: SANTOS, T. T.
UEDA, J.
Affiliation: THIAGO TEIXEIRA SANTOS, CNPTIA; JULIO UEDA.
Date Issued: 2013
Citation: In: INTERNATIONAL CONFERENCE ON FUNCTIONAL-STRUCTURAL PLANT MODELS, 7., 2013, Saariselkä. Proceedings... Vantaa: Finnish Society of Forest Science, 2013.
Pages: p. 95-97.
Description: Highlights: 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.
NAL Thesaurus: Models
Keywords: Modelagem de planta
Modelo de plantas
Reconstrução baseada em imagens
Notes: FSPM 2013.
Type of Material: Resumo em anais e proceedings
Access: openAccess
Appears in Collections:Resumo em anais de congresso (CNPTIA)

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