Data/hora: 06/06/2024 10:05:29

Biblioteca(s): | Embrapa Agricultura Digital.
Data corrente: | 05/02/2013
Data da última atualização: | 22/01/2020
Autoria: | SANTOS, T. T.; OLIVEIRA, A. A. de.
Afiliação: | THIAGO TEIXEIRA SANTOS, CNPTIA; ALBERTO A. DE OLIVEIRA.
Título: | Image-based 3D digitizing for plant architecture analysis and phenotyping.
Ano de publicação: | 2012
Fonte/Imprenta: | In: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, 25., 2012, Ouro Preto. Workshop on industry applications. [S.l.]: Conference Publishing Series, 2012.
Páginas: | Não paginado.
Idioma: | Inglês
Notas: | SIBGRAPI 2012.
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.
Palavras-Chave: | Arquitetura de planta; Fenotipagem; Modelagem.
Thesaurus Nal: | Models; Plant architecture.
Categoria do assunto: | X Pesquisa, Tecnologia e Engenharia
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/76067/1/104836.pdf
Registro original: | Embrapa Agricultura Digital (CNPTIA)
Exemplares: | CNPTIA - (17184-1) - UPC - AA - DD -  -  -  - DIS