Camera calibration using detection and neural networks

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorFederal Techonological University of Paraná-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorPedra, André Vitor Bosisio Moura-
Autor(es): dc.creatorMendonça, Marcio-
Autor(es): dc.creatorFinocchio, Marco Antonio Ferreira-
Autor(es): dc.creatorDe Arruda, Lúcia Valéria Ramos-
Autor(es): dc.creatorCastanho, José Eduardo Cogo-
Data de aceite: dc.date.accessioned2025-08-21T19:42:52Z-
Data de disponibilização: dc.date.available2025-08-21T19:42:52Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2013-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3182/20130522-3-BR-4036.00077-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/227192-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/227192-
Descrição: dc.descriptionSeveral applications use robotic vision, such as a robot navigating through an unknown surrounding, can use vision as main navigate sensor. This paper focuses on studying camera calibration via stereo vision by means of neural network. A neurocalibration method is proposed based on the neural networks ability to learn nonlinear relationship among a two and three dimension coordinate systems and also its information generalization skill. The data used to train neural network mapping are generated from a calibration grid point obtained through the use of Harris edge detection algorithm. The experimental results indicated that the neurocalibration method is feasible and efficient. © 2013 IFAC.-
Descrição: dc.descriptionElectrical Engineering Departament Federal Techonological University of Paraná, Cornélio Procópio, PR 86300-000-
Descrição: dc.descriptionElectrical Engineering Departament Federal Techonological University of Paraná, Curitiba, PR 80230-901-
Descrição: dc.descriptionElectrical Engineering Departament State University Júlio de Mesquita Filho, Bauru, SP 17015-970-
Descrição: dc.descriptionElectrical Engineering Departament State University Júlio de Mesquita Filho, Bauru, SP 17015-970-
Formato: dc.format245-250-
Idioma: dc.languageen-
Relação: dc.relationIFAC Proceedings Volumes (IFAC-PapersOnline)-
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Palavras-chave: dc.subjectCamera calibration-
Palavras-chave: dc.subjectComputer vision-
Palavras-chave: dc.subjectHarris corner extraction-
Palavras-chave: dc.subjectNeural networks-
Título: dc.titleCamera calibration using detection and neural networks-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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