Data/hora: 09/06/2024 03:38:24

Biblioteca(s): 	Embrapa Agricultura Digital; Embrapa Agroenergia.	
Data corrente: 	01/08/2016	
Data da última atualização: 	07/01/2020	
Autoria: 	SANTOS, T. T.; RODRIGUES, G. C.	
Afiliação: 	THIAGO TEIXEIRA SANTOS, CNPTIA; GUSTAVO COSTA RODRIGUES, CNPTIA.	
Título: 	Flexible three-dimensional modeling of plants using low-resolution cameras and visual odometry.	
Ano de publicação: 	2016	
Fonte/Imprenta: 	Machine Vision and Applications, New York, v. 27, n. 5, p. 695-707, 2016.	
DOI: 	10.1007/s00138-015-0729-3	
Idioma: 	Inglês	
Conteúdo: 	The three-dimensional reconstruction of plants using computer vision methods is a promising alternative to non-destructive metrology in plant phenotyping. However, diversity in plants form and size, different surrounding environments (laboratory, greenhouse or field), and occlusions impose challenging issues. We propose the use of state-ofthe-art methods for visual odometry to accurately recover camera pose and preliminary three-dimensional models on image acquisition time. Specimens of maize and sunflower were imaged using a single free-moving camera and a software tool with visual odometry capabilities. Multiple-view stereowas employed to produce dense point clouds sampling the plant surfaces. The produced three-dimensional models are accurate snapshots of the shoot state and plant measurements can be recovered in a non-invasive way. The results show a free-moving low-resolution camera is able to handle occlusions and variations in plant size and form, allowing the reconstruction of different species, and specimens in different stages of development. It is also a cheap and flexible method, suitable for different phenotyping needs. Plant traits were computed from the point clouds and compared to manually measured reference, showing millimeter accuracy. All data, including images, camera calibration, pose, and threedimensional models are publicly available.	
Palavras-Chave: 	3-D reconstruction; Fenotipagem planta; Image-based phenotyping; Modelos tridimensionais; Odometria visual; Plant digitizing; Reconstrução tridimensional de plantas; Visão computacional; Visual odometry.	
Thesaurus Nal: 	Computer vision; Image analysis; Models; Phenotype.	
Categoria do assunto: 	--
X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (18852-1) - UPC - AP - DD -  -  -  - DIS
CNPAE - (2963-1) - ADD - AP - DD -  -  -  - DIS