Forward–backward study of the stereo vision problem

Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/37174

Título:	Forward–backward study of the stereo vision problem
Palavras-chave:	Hidden Markov models Forward–Backward algorithm
Data do documento:	Abr-2009
Editor:	Elsevier
Citação:	MENEZES, 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.
Resumo:	In 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.
URI:	https://www.sciencedirect.com/science/article/pii/S0010465509000320 http://repositorio.ufla.br/jspui/handle/1/37174
Aparece nas coleções:	DFI - Artigos publicados em periódicos

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