PublicationDetail

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

THIS WEBPAGE IS DEPRECATED - please visit our new website

D. Pustka
Construction of Data Flow Networks for Tracking in Augmented Reality Applications
Dritter Workshop Virtuelle und Erweiterte Realität der GI-Fachgruppe VR/AR, Koblenz, 25.-26. September 2006 (bib)

Constructing Ubiquitous Tracking setups that can integrate new and unknown sensors dynamically at runtime is a difficult problem. One issue is that sensors in general are not synchronized, which may lead to registration errors when measurements from multiple sensors are combined. The approach presented in this paper solves the measurement simultaneity problem by creating data flow networks that include interpolation/prediction components from spatial relationship graphs descriptions based on a system of spatial relationship patterns.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.



Edit | Attach | Refresh | Diffs | More | Revision r1.13 - 30 Jan 2019 - 15:16 - LeslieCasas

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif