Image-based 3D digitizing for plant architecture analysis and phenotyping.

SANTOS, T. T.; OLIVEIRA, A. A. de

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Campo DC	Valor	Lengua/Idioma
dc.contributor.author	SANTOS, T. T.	pt_BR
dc.contributor.author	OLIVEIRA, A. A. de	pt_BR
dc.date.accessioned	2013-02-05T11:11:11Z	pt_BR
dc.date.available	2013-02-05T11:11:11Z	pt_BR
dc.date.created	2013-02-05	pt_BR
dc.date.issued	2012	pt_BR
dc.identifier.citation	In: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, 25., 2012, Ouro Preto. Workshop on industry applications. [S.l.]: Conference Publishing Series, 2012.	pt_BR
dc.identifier.uri	http://www.alice.cnptia.embrapa.br/alice/handle/doc/948383	pt_BR
dc.description	Abstract-Functional-structural plant modeling and plant phenotyping require the measurement of geometric features in specimens. This data acquisition is called plant digitizing. Actually, these measurements are performed manually, in invasive or even destructive ways, or using expensive laser scanning equipment. Computer vision based 3D reconstruction is an accurate and low cost alternative for the digitizing of plants not presenting a dense canopy. Sparse canopies are found in several important annual plants in agriculture as soybean and maize, at least in their early stages of development. This paper shows as the state of the art in structure from motion and multiple view stereo is able to produce accurate 3D models for specimens presenting sparse canopies. Three-dimensional triangular meshes are computed from a set of non-calibrated images, modeling a basil and an Ixora specimens and accurately representing their leaves and branches.	pt_BR
dc.language.iso	eng	eng
dc.rights	openAccess	eng
dc.subject	Arquitetura de planta	pt_BR
dc.subject	Fenotipagem	pt_BR
dc.subject	Modelagem	pt_BR
dc.title	Image-based 3D digitizing for plant architecture analysis and phenotyping.	pt_BR
dc.type	Artigo em anais e proceedings	pt_BR
dc.date.updated	2020-01-22T11:11:11Z	pt_BR
dc.subject.nalthesaurus	Plant architecture	pt_BR
dc.subject.nalthesaurus	Models	pt_BR
dc.description.notes	SIBGRAPI 2012.	pt_BR
dc.format.extent2	Não paginado.	pt_BR
riaa.ainfo.id	948383	pt_BR
riaa.ainfo.lastupdate	2020-01-22 -02:00:00	pt_BR
dc.contributor.institution	THIAGO TEIXEIRA SANTOS, CNPTIA; ALBERTO A. DE OLIVEIRA.	pt_BR
Aparece en las colecciones:	Artigo em anais de congresso (CNPTIA)

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