PublicationDetail

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

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.
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