On the hybrid aid-localization for outdoor augmented reality applications

Imane Zendjebil (1) , Fakhr-Eddine Ababsa (1) , Jean-Yves Didier (2) , Malik Mallem (2)

1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
2 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes

In mobile outdoor augmented reality applications, accurate localization is critical to register virtual augmentations over a real scene. Vision-based approaches provide accurate localization estimates but are still too sensitive to outdoor conditions (brightness changes, occlusions, etc.). This drawback can be overcome by adding other types of sensors. In this work, we combine a GPS and an inertial sensor with a camera to provide accurate localization. We will present the calibration process and we will discuss how to quantify the 3D localization accuracy. Experimental results on real data are presented.

Domaines: Informatique ubiquitaire; Interface homme-machine [cs.HC]; Multimédia [cs.MM]; Synthèse d'image et réalité virtuelle [cs.GR]; Architectures Matérielles [cs.AR]; Robotique [cs.RO]

Imane Zendjebil, Fakhr-Eddine Ababsa, Jean-Yves Didier, Malik Mallem. On the hybrid aid-localization for outdoor augmented reality applications. VRST '08: Proceedings of the 2008 ACM symposium on Virtual reality software and technology, Oct 2008, Bordeaux, France. pp.249--250, ⟨10.1145/1450579.1450637⟩. ⟨hal-00344877⟩