Version du 9 décembre 2008 à 10:15 (modifier)
Maidi (Discuter | Contributions)
← Différence précédente |
Version actuelle (12 avril 2010 à 17:28) (modifier) (défaire)
Maidi (Discuter | Contributions)
|
| (Une révision intermédiaire masquée) |
| Ligne 1 : |
Ligne 1 : |
| - | <bibtex> | + | |
| - | @InProceedings{Maidi08, | + | |
| - | author = {M. Maidi and F. Ababsa and M. Mallem}, | + | |
| - | title = {Handling Occlusions for Augmented Reality Systems}, | + | |
| - | booktitle = {The 13th International Fall Workshop in Vision, Modeling, and Visualization Workshop (VMV 2008)}, | + | |
| - | pages = {}, | + | |
| - | year = {2008}, | + | |
| - | address = {Konstanz (Germany)}, | + | |
| - | month = {October 8-10}, | + | |
| - | abstract = {In Augmented Reality applications, the human | + | |
| - | perception is enhanced with computer-generated | + | |
| - | graphics. These graphics must be exactly registered | + | |
| - | to real objects in the scene and this requires | + | |
| - | an effective Augmented Reality system to track the | + | |
| - | user’s viewpoint. In this paper, a robust tracking algorithm | + | |
| - | based coded fiducials is presented. Square | + | |
| - | targets are identified and pose parameters are computed | + | |
| - | using a hybrid approach based on a direct | + | |
| - | method combined with the Kalman filter. An important | + | |
| - | factor for providing a robust Augmented Reality | + | |
| - | system is the correct handling of targets occlusions | + | |
| - | by real scene elements. To overcome tracking | + | |
| - | failure due to occlusions, we extend our method using | + | |
| - | an optical flow approach to track visible points | + | |
| - | and maintain virtual graphics overlaying when targets | + | |
| - | are not identified. Our proposed real time algorithm | + | |
| - | is tested with different camera viewpoints | + | |
| - | under various image conditions and shows to be accurate | + | |
| - | and robust.} | + | |
| - | } | + | |
| - | </bibtex> | + | |
