Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/37174
Title: Forward–backward study of the stereo vision problem
Keywords: Hidden Markov models
Forward–Backward algorithm
Issue Date: Apr-2009
Publisher: Elsevier
Citation: 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.
Abstract: 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
Appears in Collections:DFI - Artigos publicados em periódicos

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