Bibtex:Maidi08b

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-<bibtex>+ 
-@InProceedings{Maidi08a,+
- 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>+

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