Abstract
We present a real-time visual-inertial localization approach directly integrable in a wearable immersive system for simulation and training. In this context, while CAVE systems typically require complex and expensive set-up, our approach relies on visual and inertial information provided by consumer monocular camera and Inertial Measurement Unit, embedded in a wearable stereoscopic HMD. 6-DOF localization is achieved through image registration with respect to a 3D map of descriptors of the training room and robust tracking of visual features. We propose a novel efficient and robust pipeline based on state-of-the-art image-based localization and sensor fusion approaches, which makes use of robust orientation information from FMU, to cope with camera fast motion and limit motion jitters. The proposed system runs at 30 fps on a standard PC and requires very limited set-up for its intended application.
Original language | English |
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Title of host publication | 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) |
Publisher | IEEE |
Pages | 257-258 |
Number of pages | 2 |
ISBN (Electronic) | 9781479961849 |
DOIs | |
Publication status | Published - 6 Nov 2014 |
Externally published | Yes |
Event | 2014 IEEE International Symposium on Mixed and Augmented Reality - Munich, Germany Duration: 10 Sept 2014 → 12 Sept 2014 |
Conference
Conference | 2014 IEEE International Symposium on Mixed and Augmented Reality |
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Abbreviated title | ISMAR |
Country/Territory | Germany |
City | Munich |
Period | 10/09/14 → 12/09/14 |
Keywords
- augmented reality