A Lightweight ID-Based Extension for Marker Tracking Systems

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dc.contributor.authorFlohr, Danielen_US
dc.contributor.authorFischer, Janen_US
dc.contributor.editorBernd Froehlich and Roland Blach and Robert van Liereen_US
dc.date.accessioned2014-01-31T20:24:50Z
dc.date.available2014-01-31T20:24:50Z
dc.date.issued2007en_US
dc.description.abstractThe estimation of the position and orientation of the digital video camera is a central challenge in video seethrough augmented reality. Many augmented reality applications solve this problem with the help of markerbased methods, which analyze artificial fiducials in the images of the real environment, e.g., using the widespread ARToolKit library. Among the drawbacks of conventional marker tracking is the necessity to manually define marker patterns. Badly chosen patterns have a negative impact on tracking performance. Although improved methods for automatic marker generation have been described, manually controlled marker tracking is still widely used in many applications for practical reasons. In this paper, we describe a lightweight drop-in extension for IDbased marker tracking. Our system makes it possible to automatically generate a large number of tracking fiducials identified by unique numerical IDs. The created marker patterns consists of large monochrome patches, which improves the recognition rate and tracking performance compared to typical manually defined fiducials. Due to the design of our extension, only minimal adaptations are required in order to add ID-based tracking to existing augmented reality software. We discuss experimental results demonstrating the improved pattern recognition and describe an example application.en_US
dc.description.seriesinformationEurographics Symposium on Virtual Environments, Short Papers and Postersen_US
dc.identifier.isbn978-3-905673-64-7en_US
dc.identifier.urihttps://doi.org/10.2312/PE/VE2007Short/059-064en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): H.5.1 [Information Interfaces and Presentation]: Artificial, augmented, and virtual realitiesen_US
dc.titleA Lightweight ID-Based Extension for Marker Tracking Systemsen_US
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