Forward–backward study of the stereo vision problem

dc.creatorMenezes, Fortunato Silva de
dc.creatorGeiger, Davi
dc.creatorSilva, Ricardo Martins Abreu e
dc.creatorDistler, George
dc.creatorHu, Arefin
dc.date.accessioned2019-10-10T19:39:40Z
dc.date.available2019-10-10T19:39:40Z
dc.date.issued2009-04
dc.description.abstractIn 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.pt_BR
dc.identifier.citationMENEZES, F. S. de et al. Forward–backward study of the stereo vision problem. Computer Physics Communications, [S.l.], v. 180, n. 4, p. 664-668, Apr. 2009.pt_BR
dc.identifier.urihttps://repositorio.ufla.br/handle/1/37174
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0010465509000320pt_BR
dc.languageen_USpt_BR
dc.publisherElsevierpt_BR
dc.rightsopenAccesspt_BR
dc.sourceComputer Physics Communicationspt_BR
dc.subjectHidden Markov modelspt_BR
dc.subjectForward–Backward algorithmpt_BR
dc.titleForward–backward study of the stereo vision problempt_BR
dc.typeArtigopt_BR

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