Name
Title | ||
|---|---|---|
Object recognition and tracking using Bayesian networks for augmented reality systems |
Abstract | ||
|---|---|---|
One of the major problems in Augmented Reality (AR) is tracking and registration of both cameras and objects. These tasks must be done accurately to combine real and rendered scenes. In particular, the initialization of the object tracking often remains maunual in most systems. This paper proposes the use of Bayesian Networks to perform the object recognition and initialization of the tracking. By recognizing the object, special points are taken and we use this information to create generic markers around the scene. Then, an algorithm for pose estimation based on the AR-Toolkit Library is used to find the orientation of the real object to allow the registration process for 3D objects. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/IV.2005.92 | IV |
Keywords | Field | DocType |
augmented reality,belief networks,image registration,object recognition,software libraries,target tracking,AR-toolkit library,Bayesian networks,augmented reality,object recognition,object tracking,pose estimation | Computer vision,3D single-object recognition,Pattern recognition,Computer science,Augmented reality,Pose,Video tracking,Bayesian network,Artificial intelligence,Initialization,Image registration,Cognitive neuroscience of visual object recognition | Conference |
ISSN | ISBN | Citations |
1550-6037 | 0-7695-2397-8 | 0 |
PageRank | References | Authors |
0.34 | 14 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rodrigo L. S. Silva | 1 | 5 | 1.72 |
| Paulo S. Rodrigues | 2 | 46 | 7.12 |
| Gilson A. Giraldi | 3 | 98 | 21.93 |
| Gerson Cunha | 4 | 0 | 0.34 |