Identificação de pontos robustos em marcadores naturais e aplicação de metodologia baseada em aprendizagem situada no desenvolvimento de sistemas de realidade aumentada

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dc.contributor.advisorMarengoni, Mauríciopt_BR
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/1974791787566027por
dc.contributor.authorForte, Cleberson Eugeniopt_BR
dc.creator.Latteshttp://lattes.cnpq.br/6197792264051641por
dc.date.accessioned2016-03-15T19:38:53Z
dc.date.accessioned2020-05-28T18:07:58Z
dc.date.available2015-10-01pt_BR
dc.date.available2020-05-28T18:07:58Z
dc.date.issued2015-08-07pt_BR
dc.description.abstractIn the past, the Augmented Reality (AR) required advanced technologies in special devices for interaction and visualization. Nowadays, with the emergence of the mobile devices it has become common the usage of these tools in the development of AR systems applied to various purposes, including education, using natural markers. As the quality of images captured by mobile devices has increased the number of detected feature points has increased also, which ultimately hampers, or even prevents the technique to be used in applications, which run in real time. In addition, it becomes clear the necessity of proposing methodologies to be used in the development of educational applications using AR systems in order to improve the user s experience as well as the longevity of these applications, adding elements based on educational theories. The technique presented in this work determine illumination robust feature points, in order to reduce the time required to match high-resolution images. Additionally, the research also provides a conceptual framework methodology that, based on situated learning theory, combines the educational and technological aspects related to the context of developing mobile AR applications. Based on the experiments, it is possible to say that the technique using robust feature points saves about 70% in the processing time for matching high resolution images.eng
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.formatapplication/pdfpor
dc.identifier.citationFORTE, Cleberson Eugenio. Identificação de pontos robustos em marcadores naturais e aplicação de metodologia baseada em aprendizagem situada no desenvolvimento de sistemas de realidade aumentada. 2015. 117 f. Tese (Doutorado em Engenharia Elétrica) - Universidade Presbiteriana Mackenzie, São Paulo, 2015.por
dc.identifier.urihttp://dspace.mackenzie.br/handle/10899/24264
dc.languageporpor
dc.publisherUniversidade Presbiteriana Mackenziepor
dc.rightsAcesso Abertopor
dc.subjectvisão computacionalpor
dc.subjectpontos de interessepor
dc.subjectrealidade aumentadapor
dc.subjectcomputer visioneng
dc.subjectfeature pointseng
dc.subjectaugmented realityeng
dc.subject.cnpqCNPQ::ENGENHARIAS::ENGENHARIA ELETRICApor
dc.thumbnail.urlhttp://tede.mackenzie.br/jspui/retrieve/3797/CLEBERSON%20EUGENIO%20FORTE.pdf.jpg*
dc.titleIdentificação de pontos robustos em marcadores naturais e aplicação de metodologia baseada em aprendizagem situada no desenvolvimento de sistemas de realidade aumentadapor
dc.typeTesepor
local.contributor.board1Silveira, Ismar Frangopt_BR
local.contributor.board1Latteshttp://lattes.cnpq.br/3894359521286830por
local.contributor.board2Kirner, Claudiopt_BR
local.contributor.board2Latteshttp://lattes.cnpq.br/0277705848688464por
local.contributor.board3Concilio, Ilana de Almeida Souzapt_BR
local.contributor.board3Latteshttp://lattes.cnpq.br/8570600616103852por
local.contributor.board4Thomaz, Carlos Eduardopt_BR
local.contributor.board4Latteshttp://lattes.cnpq.br/1787052168477889por
local.publisher.countryBRpor
local.publisher.departmentEngenharia Elétricapor
local.publisher.initialsUPMpor
local.publisher.programEngenharia Elétricapor
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Engenharia Elétrica e Computação - Teses - EE Higienópolis