Title
Markerless Vision-Based Tracking of Partially Known 3D Scenes for Outdoor Augmented Reality Applications
Abstract
This paper presents a new robust and reliable marker less camera tracking system for outdoor augmented reality using only a mobile handheld camera. The proposed method is particularly efficient for partially known 3D scenes where only an incomplete 3D model of the outdoor environment is available. Indeed, the system combines an edge-based tracker with a sparse 3D reconstruction of the real-world environment to continually perform the camera tracking even if the model-based tracker fails. Experiments on real data were carried out and demonstrate the robustness of our approach to occlusions and scene changes.
Year
DOI
Venue
2008
10.1007/978-3-540-89639-5_48
ISVC (1)
Keywords
Field
DocType
edge-based tracker,markerless vision-based tracking,real-world environment,reliable marker,outdoor augmented reality,outdoor environment,model-based tracker,outdoor augmented reality applications,mobile handheld camera,camera tracking system,augmented reality,3d reconstruction,tracking system
Coordinate system,Computer vision,Computer graphics (images),Computer science,Camera tracking,Tracking system,Augmented reality,Vision based,Robustness (computer science),Mobile device,Artificial intelligence,3D reconstruction
Conference
Volume
ISSN
Citations 
5358
0302-9743
1
PageRank 
References 
Authors
0.36
12
4
Name
Order
Citations
PageRank
Fakhreddine Ababsa19616.89
Jean-yves Didier27013.14
Imane Zendjebil310.70
Malik Mallem415229.74