Application of computer vision and Kalman filtering technniques to identifity oil flames nebulization quality (2009)
- Authors:
- USP affiliated authors: FLEURY, AGENOR DE TOLEDO - EP ; MARTINS, FLAVIUS PORTELLA RIBAS - EP ; TRIGO, FLAVIO CELSO - EP
- Unidade: EP
- Subjects: FILTROS DE KALMAN; LÓGICA FUZZY; VISÃO COMPUTACIONAL; COMBUSTÃO (PROCESSOS)
- Language: Inglês
- Imprenta:
- Publisher: ABCM
- Publisher place: Rio de Janeiro
- Date published: 2009
- Source:
- Título: Proceedings of COBEM
- Conference titles: International Congress of Mechanical Engineering
-
ABNT
FLEURY, Agenor de Toledo e TRIGO, Flávio Celso e MARTINS, Flavius Portella Ribas. Application of computer vision and Kalman filtering technniques to identifity oil flames nebulization quality. 2009, Anais.. Rio de Janeiro: ABCM, 2009. Disponível em: https://repositorio.usp.br/directbitstream/b2e29289-83bc-4954-aa19-15bac114e3f4/Martins_F-2009-Application%20of%20a%20computer%20vision%20method%20and%20a%20kalman%20filter%20to%20identify.pdf. Acesso em: 17 nov. 2024. -
APA
Fleury, A. de T., Trigo, F. C., & Martins, F. P. R. (2009). Application of computer vision and Kalman filtering technniques to identifity oil flames nebulization quality. In Proceedings of COBEM. Rio de Janeiro: ABCM. Recuperado de https://repositorio.usp.br/directbitstream/b2e29289-83bc-4954-aa19-15bac114e3f4/Martins_F-2009-Application%20of%20a%20computer%20vision%20method%20and%20a%20kalman%20filter%20to%20identify.pdf -
NLM
Fleury A de T, Trigo FC, Martins FPR. Application of computer vision and Kalman filtering technniques to identifity oil flames nebulization quality [Internet]. Proceedings of COBEM. 2009 ;[citado 2024 nov. 17 ] Available from: https://repositorio.usp.br/directbitstream/b2e29289-83bc-4954-aa19-15bac114e3f4/Martins_F-2009-Application%20of%20a%20computer%20vision%20method%20and%20a%20kalman%20filter%20to%20identify.pdf -
Vancouver
Fleury A de T, Trigo FC, Martins FPR. Application of computer vision and Kalman filtering technniques to identifity oil flames nebulization quality [Internet]. Proceedings of COBEM. 2009 ;[citado 2024 nov. 17 ] Available from: https://repositorio.usp.br/directbitstream/b2e29289-83bc-4954-aa19-15bac114e3f4/Martins_F-2009-Application%20of%20a%20computer%20vision%20method%20and%20a%20kalman%20filter%20to%20identify.pdf - Motion of a disk in contact with a parametric 2D curve and Painlevé’s paradox
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- Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach
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