The focus of this workshop is on presenting, discussing and demonstrating recent tracking methods and applications that work well in practice and that show some superiority over state-of-the-art methods. Rather than focusing on pure novelty, this workshop encourages presentations that concentrate on complete systems and integrated approaches. The TMA workshop looks at pose tracking from an end-to-end point of view. Practical tracking solutions for AR are usually complex systems that combine

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... methods including, but not limited to: Model-based detection and tracking Large scale object recognition SLAM and online reconstruction CPU offloading (e.g. GPU processing) Sensor integration and fusion User generated content and tracking data Networking and persistence Flow graphs and plug-in architectures Calibration Two keynote talks given by invited world-renowned specialists in fields from which Augmented Reality can highly benefit will be delivered at the beginning of the presentation sessions. The fields include computer vision, other sensing modalities (e.g. GPS, inertial, etc.) and systems issues (calibration, estimation, fusion, etc.). Council (ERC) Starting Grant. The group's work continues to focus on the challenges in real-time, real-world 3D vision, expanding on the core problems of localisation and mapping with cameras towards a more general real-time model-based scene understanding agenda. The wide applicability of this research in robotics and beyond into areas like augmented reality, gaming, mobile devices and automotive has been proven by strong industrial interest and the group has ongoing links with companies in several different sectors. Recent work has been recognized with best paper awards at ICRA 2010 and ISMAR 2011, and the best demonstration award at ICCV 2011. file:1 IIUsers/megh/Documentsl Archive/2012/ISMARldllamh/OOO _ workshop3 .txt[12-11-27 II :23: 15 AM]