Dieter Schmalstieg

TL;DR: This paper achieves interactive frame rates of up to 20 Hz for natural feature tracking from textured planar targets on current-generation phones using an approach based on heavily modified state-of-the-art feature descriptors, namely SIFT and Ferns.

TL;DR: Anecdotal evidence supports the claim that Construct3D is easy to learn, encourages experimentation with geometric constructions and improves spatial skills, and the system for the improvement of spatial abilities and maximization of transfer of learning.

TL;DR: This paper reviews the user interface of the initial Studierstube system, in particular the implementation of collaborative augmented reality, and the Personal Interaction Panel, a two-handed interface for interaction with the system.

TL;DR: This paper describes the first stand-alone Augmented Reality system with self-tracking running on an unmodified personal digital assistant (PDA) with a commercial camera and introduces an optional client/server architecture that is based on wireless networking and is able to dynamically and transparently offload the tracking task in order toprovide better performance in select areas.

TL;DR: This paper achieves interactive frame rates of up to 30 Hz for natural feature tracking from textured planar targets on current generation phones using an approach based on heavily modified state-of-the-art feature descriptors, namely SIFT and Ferns plus a template-matching-based tracker.