Model-Based Visual Tracking for Outdoor Augmented Reality Applications

• Published in: Proceedings of the 1st International Symposium on Mixed and Augmented Reality p. 277
• Main Authors: Behringer, Reinhold, Park, Jun, Sundareswaran, Venkataraman
• Format: Conference Proceeding
• Language: English
• Published: Washington, DC, USA IEEE Computer Society 30-09-2002
• Series: ACM Other Conferences
• Subjects: Computing methodologies; Computing methodologies > Artificial intelligence; Computing methodologies > Artificial intelligence > Computer vision; Computing methodologies > Artificial intelligence > Computer vision > Computer vision tasks; Computing methodologies > Artificial intelligence > Computer vision > Computer vision tasks > Scene understanding; Computing methodologies > Computer graphics; Computing methodologies > Computer graphics > Graphics systems and interfaces; Computing methodologies > Computer graphics > Graphics systems and interfaces > Virtual reality; Human-centered computing; Human-centered computing > Human computer interaction (HCI); Human-centered computing > Human computer interaction (HCI) > Interaction paradigms; Human-centered computing > Human computer interaction (HCI) > Interaction paradigms > Mixed > augmented reality
• ISBN: 9780769517810; 0769517811
• DOI: 10.5555/850976.854944

Outdoor Augmented Reality (AR) applications rely on hybrid tracking (GPS, digital compass, visual) for registration. RSC has developed a real-time visual tracking system that uses visual cues of buildings in an urban environment for correcting the results of a conventional tracking system. This approach relies on knowledge of a CAD model of the building. It not only provides motion estimation, but also absolute orientation/position. It is based on the "Visual Servoing" approach, originally developed for robotics tasks. We have demonstrated this approach in real-time at a building on the NRL campus This poster shows the approach and results. The concept can be generalized to any scenario where a CAD model is available. This system is being prepared for integration into the NRL system BARS (Battlefield Augmented Reality System).