Multithreaded hybrid feature tracking for markerless augmented reality
We describe a novel markerless camera tracking approach and user interaction methodology for augmented reality (AR) on unprepared tabletop environments. We propose a real-time system architecture that combines two types of feature tracking. Distinctive image features of the scene are detected and tr...
Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 15(2009), 3 vom: 31. Mai, Seite 355-68 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2009
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Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics |
Schlagworte: | Journal Article Research Support, Non-U.S. Gov't |
Zusammenfassung: | We describe a novel markerless camera tracking approach and user interaction methodology for augmented reality (AR) on unprepared tabletop environments. We propose a real-time system architecture that combines two types of feature tracking. Distinctive image features of the scene are detected and tracked frame-to-frame by computing optical flow. In order to achieve real-time performance, multiple operations are processed in a synchronized multi-threaded manner: capturing a video frame, tracking features using optical flow, detecting distinctive invariant features, and rendering an output frame. We also introduce user interaction methodology for establishing a global coordinate system and for placing virtual objects in the AR environment by tracking a user's outstretched hand and estimating a camera pose relative to it. We evaluate the speed and accuracy of our hybrid feature tracking approach, and demonstrate a proof-of-concept application for enabling AR in unprepared tabletop environments, using bare hands for interaction |
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Beschreibung: | Date Completed 28.05.2009 Date Revised 13.03.2009 published: Print Citation Status MEDLINE |
ISSN: | 1941-0506 |
DOI: | 10.1109/TVCG.2008.190 |