Name
Abstract | ||
|---|---|---|
This paper proposes a new method for the automatic identification of parallel planes form uncalibrated images of a scene. First, we demonstrate that, given a priori knowledge about a single pair of parallel planes, it is possible to identify all other parallel planes from uncalibrated images of a scene. Then, we show that a pair of parallel virtual planes can be made available when the scene is imaged by stationary non-rotating zooming cameras leading to a fully automatic identification method. Experiments with indoor and outdoor real images have validated our method. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CRV.2013.41 | Computer and Robot Vision |
Keywords | Field | DocType |
parallel virtual plane,uncalibrated zooming cameras,parallel plane,parallel planes,stationary non-rotating zooming camera,automatic identification,automatic identification method,single pair,new method,outdoor real image,uncalibrated image,parallel processing,noise,optical imaging,image reconstruction,lenses | Iterative reconstruction,Object detection,Computer vision,Computer graphics (images),Computer science,A priori and a posteriori,Parallel processing,Zoom,Lens (optics),Artificial intelligence,Real image,Optical imaging | Conference |
ISBN | Citations | PageRank |
978-1-4673-6409-6 | 0 | 0.34 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tarik Elamsy | 1 | 5 | 2.11 |
| Boubakeur Boufama | 2 | 162 | 22.02 |
| Adlane Habed | 3 | 43 | 8.26 |