Bibtex:Maidi08b - Historique des versions

Maidi: Résumé automatique : blanchiment

Maidi — Mon, 12 Apr 2010 17:28:18 GMT

Résumé automatique : blanchiment

← Version précédente		Version du 12 avril 2010 à 17:28
Ligne 1 :		Ligne 1 :
-	~~<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>~~	+

Maidi le 9 décembre 2008 à 10:20

Maidi — Tue, 09 Dec 2008 10:20:13 GMT

← Version précédente		Version du 9 décembre 2008 à 10:20
Ligne 1 :		Ligne 1 :
	<bibtex>		<bibtex>
-	@InProceedings{~~Maidi08~~,	+	@InProceedings{Maidi08a,
	author = {M. Maidi and F. Ababsa and M. Mallem},		author = {M. Maidi and F. Ababsa and M. Mallem},
	title = {Handling Occlusions for Augmented Reality Systems},		title = {Handling Occlusions for Augmented Reality Systems},

Maidi le 9 décembre 2008 à 10:15

Maidi — Tue, 09 Dec 2008 10:15:46 GMT

← Version précédente		Version du 9 décembre 2008 à 10:15
Ligne 3 :		Ligne 3 :
	author = {M. Maidi and F. Ababsa and M. Mallem},		author = {M. Maidi and F. Ababsa and M. Mallem},
	title = {Handling Occlusions for Augmented Reality Systems},		title = {Handling Occlusions for Augmented Reality Systems},
-	booktitle = {The 13th International Fall Workshop Vision, Modeling, and Visualization Workshop (VMV 2008)},	+	booktitle = {The 13th International Fall Workshop in Vision, Modeling, and Visualization Workshop (VMV 2008)},
	pages = {},		pages = {},
	year = {2008},		year = {2008},
	address = {Konstanz (Germany)},		address = {Konstanz (Germany)},
-	month = {October 08-10},	+	month = {October 8-10},
	abstract = {In Augmented Reality applications, the human		abstract = {In Augmented Reality applications, the human
	perception is enhanced with computer-generated		perception is enhanced with computer-generated

Maidi: Nouvelle page : @InProceedings{Maidi08, author = {M. Maidi and F. Ababsa and M. Mallem}, title = {Handling Occlusions for Augmented Reality Systems}, booktitle = {The 13t...

Maidi — Tue, 09 Dec 2008 10:14:10 GMT

Nouvelle page : <bibtex> @InProceedings{Maidi08, author = {M. Maidi and F. Ababsa and M. Mallem}, title = {Handling Occlusions for Augmented Reality Systems}, booktitle = {The 13t...

Nouvelle page

<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 Vision, Modeling, and Visualization Workshop (VMV 2008)},
pages = {},
year = {2008},
address = {Konstanz (Germany)},
month = {October 08-10},
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>