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| Registros recuperados : 142 | |
| Registros recuperados : 142 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
05/02/2013 |
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Data da última atualização: |
22/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SANTOS, T. T.; OLIVEIRA, A. A. de. |
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Afiliação: |
THIAGO TEIXEIRA SANTOS, CNPTIA; ALBERTO A. DE OLIVEIRA. |
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Título: |
Image-based 3D digitizing for plant architecture analysis and phenotyping. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, 25., 2012, Ouro Preto. Workshop on industry applications. [S.l.]: Conference Publishing Series, 2012. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
SIBGRAPI 2012. |
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Conteúdo: |
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. |
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Palavras-Chave: |
Arquitetura de planta; Fenotipagem; Modelagem. |
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Thesaurus NAL: |
Models; Plant architecture. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/76067/1/104836.pdf
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Marc: |
LEADER 01646nam a2200205 a 4500
001 1948383
005 2020-01-22
008 2012 bl uuuu u00u1 u #d
100 1 $aSANTOS, T. T.
245 $aImage-based 3D digitizing for plant architecture analysis and phenotyping.$h[electronic resource]
260 $aIn: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, 25., 2012, Ouro Preto. Workshop on industry applications. [S.l.]: Conference Publishing Series$c2012
300 $aNão paginado.
500 $aSIBGRAPI 2012.
520 $aAbstract-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.
650 $aModels
650 $aPlant architecture
653 $aArquitetura de planta
653 $aFenotipagem
653 $aModelagem
700 1 $aOLIVEIRA, A. A. de
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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