Forward–backward study of the stereo vision problem

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorMenezes, Fortunato Silva de-
Autor(es): dc.creatorGeiger, Davi-
Autor(es): dc.creatorSilva, Ricardo Martins Abreu e-
Autor(es): dc.creatorDistler, George-
Autor(es): dc.creatorHu, Arefin-
Data de aceite: dc.date.accessioned2026-02-09T11:26:20Z-
Data de disponibilização: dc.date.available2026-02-09T11:26:20Z-
Data de envio: dc.date.issued2019-10-10-
Data de envio: dc.date.issued2019-10-10-
Data de envio: dc.date.issued2009-04-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/37174-
Fonte completa do material: dc.identifierhttps://www.sciencedirect.com/science/article/pii/S0010465509000320-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1140813-
Descrição: dc.descriptionIn stereo vision a pair of two-dimensional (2D) stereo images is given and the purpose is to find out the depth (disparity) of regions of the image in relation to the background, so that we can reconstruct the 3D structure of the image from the pair of 2D stereo images given. Using the Bayesian framework we implemented the Forward–Backward algorithm to unfold the disparity (depth) of a pair of stereo images. The results showed are very reasonable, but we point out there is room for improvement concerning the graph structure used.-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceComputer Physics Communications-
Palavras-chave: dc.subjectHidden Markov models-
Palavras-chave: dc.subjectForward–Backward algorithm-
Título: dc.titleForward–backward study of the stereo vision problem-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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