Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.cpc.2009.01.016 | Computer Physics Communications |
Keywords | Field | DocType |
02.50.Tt,02.60.Pn,95.75.Mn,95.75.Pq | Computer vision,Graph,Forward–backward algorithm,Pattern recognition,Stereopsis,Artificial intelligence,Hidden Markov model,Mathematics,Computer stereo vision,Bayesian probability | Journal |
Volume | Issue | ISSN |
180 | 4 | 0010-4655 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fortunato S. De Menezes | 1 | 9 | 2.00 |
| Davi Geiger | 2 | 1050 | 353.66 |
| Ricardo Martins Abreu e Silva | 3 | 0 | 0.34 |
| George Distler | 4 | 0 | 0.34 |
| Arefin Hu | 5 | 0 | 0.34 |