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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Agrossilvipastoril. |
Data corrente: |
04/01/2022 |
Data da última atualização: |
06/01/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SANTOS, E. F. dos; VENDRUSCULO, L. G.; LOPES, L. B.; KAMCHEN, S. G.; CONDOTTA, I. C. F. S. |
Afiliação: |
ELTON FERNANDES DOS SANTOS, UFMT; LAURIMAR GONCALVES VENDRUSCULO, CNPTIA; LUCIANO BASTOS LOPES, CPAMT; SCHEILA GEIELE KAMCHEN, UFMT; ISABELLA C. F. S. CONDOTTA, University of Illinois. |
Título: |
Mathematical models for metric features extraction from RGB-D sensor. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Scientific Electronic Archives, v. 14, n. 11, p. 76-85, 2021. |
DOI: |
https://doi.org/10.36560/141120211467 |
Idioma: |
Inglês |
Conteúdo: |
Abstract. The use of the RGB-D camera has been applied in several fields of science. That popularization is due to the emergence of technologies such as the Intel® RealSenseTM D400 series. However, despite the actual demand from some potential users, few studies concern the characterization of these sensors for object measurements. Our study sought to estimate models dealing with calculating the area and length between targets or points within RGB and depth images. An experiment was set up with white cardboard fixed on a flat surface with colored pins. We measured the distance between the camera and cardboard by calculating the average distance from the pixels belonging to the target area. The Information Criterion AIC and BIC associated with R2 were performed to select the best models. Polynomial and power regression models reached the highest coefficient of determination and smallest values of AIC and BIC. |
Palavras-Chave: |
Depth camera; Extração de características; Image processing; Modelos matemáticos; Processamento de imagem; RealSenseTM. |
Thesaurus Nal: |
Image analysis; Mathematical models. |
Categoria do assunto: |
-- X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/229943/1/AP-Mathematical-models-2021.pdf
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Marc: |
LEADER 01776naa a2200277 a 4500 001 2138727 005 2022-01-06 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.36560/141120211467$2DOI 100 1 $aSANTOS, E. F. dos 245 $aMathematical models for metric features extraction from RGB-D sensor.$h[electronic resource] 260 $c2021 520 $aAbstract. The use of the RGB-D camera has been applied in several fields of science. That popularization is due to the emergence of technologies such as the Intel® RealSenseTM D400 series. However, despite the actual demand from some potential users, few studies concern the characterization of these sensors for object measurements. Our study sought to estimate models dealing with calculating the area and length between targets or points within RGB and depth images. An experiment was set up with white cardboard fixed on a flat surface with colored pins. We measured the distance between the camera and cardboard by calculating the average distance from the pixels belonging to the target area. The Information Criterion AIC and BIC associated with R2 were performed to select the best models. Polynomial and power regression models reached the highest coefficient of determination and smallest values of AIC and BIC. 650 $aImage analysis 650 $aMathematical models 653 $aDepth camera 653 $aExtração de características 653 $aImage processing 653 $aModelos matemáticos 653 $aProcessamento de imagem 653 $aRealSenseTM 700 1 $aVENDRUSCULO, L. G. 700 1 $aLOPES, L. B. 700 1 $aKAMCHEN, S. G. 700 1 $aCONDOTTA, I. C. F. S. 773 $tScientific Electronic Archives$gv. 14, n. 11, p. 76-85, 2021.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
Biblioteca(s): |
Embrapa Amazônia Ocidental. |
Data corrente: |
27/07/2018 |
Data da última atualização: |
27/07/2018 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
FELDMANN, F.; PREISINGER, H.; GASPAROTTO, L.; LIEBEREI, R. |
Afiliação: |
LUADIR GASPAROTTO, CPAA. |
Título: |
The environmental changes field preparation in Amazonas require an ecologically adapted agricultural production system to reach economical stability. |
Ano de publicação: |
1993 |
Fonte/Imprenta: |
In: SYMPOSIUM TROPISCHE NUTZPFLANZEN - BIOLOGIE, OKOLOGIE, OKONOMIE, 1993, Hamburg. Abstracts... Hamburg: Universitat, 1993. p. 84. |
Idioma: |
Inglês |
Palavras-Chave: |
Sistema de produção agrícola. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/180446/1/Abstracts-pag-84.pdf
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Marc: |
LEADER 00610nam a2200145 a 4500 001 2093630 005 2018-07-27 008 1993 bl uuuu u00u1 u #d 100 1 $aFELDMANN, F. 245 $aThe environmental changes field preparation in Amazonas require an ecologically adapted agricultural production system to reach economical stability. 260 $aIn: SYMPOSIUM TROPISCHE NUTZPFLANZEN - BIOLOGIE, OKOLOGIE, OKONOMIE, 1993, Hamburg. Abstracts... Hamburg: Universitat, 1993. p. 84.$c1993 653 $aSistema de produção agrícola 700 1 $aPREISINGER, H. 700 1 $aGASPAROTTO, L. 700 1 $aLIEBEREI, R.
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