Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/948383
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSANTOS, T. T.pt_BR
dc.contributor.authorOLIVEIRA, A. A. dept_BR
dc.date.accessioned2013-02-05T11:11:11Zpt_BR
dc.date.available2013-02-05T11:11:11Zpt_BR
dc.date.created2013-02-05pt_BR
dc.date.issued2012pt_BR
dc.identifier.citationIn: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, 25., 2012, Ouro Preto. Workshop on industry applications. [S.l.]: Conference Publishing Series, 2012.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/948383pt_BR
dc.descriptionAbstract-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.isoengeng
dc.rightsopenAccesseng
dc.subjectArquitetura de plantapt_BR
dc.subjectFenotipagempt_BR
dc.subjectModelagempt_BR
dc.titleImage-based 3D digitizing for plant architecture analysis and phenotyping.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2020-01-22T11:11:11Zpt_BR
dc.subject.nalthesaurusPlant architecturept_BR
dc.subject.nalthesaurusModelspt_BR
dc.description.notesSIBGRAPI 2012.pt_BR
dc.format.extent2Não paginado.pt_BR
riaa.ainfo.id948383pt_BR
riaa.ainfo.lastupdate2020-01-22 -02:00:00pt_BR
dc.contributor.institutionTHIAGO TEIXEIRA SANTOS, CNPTIA; ALBERTO A. DE OLIVEIRA.pt_BR
Appears in Collections:Artigo em anais de congresso (CNPTIA)

Files in This Item:
File Description SizeFormat 
104836.pdf8,77 MBAdobe PDFThumbnail
View/Open

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace