Issue No. 03 - May/June (2009 vol. 15)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2008.190
Taehee Lee , University of California, Los Angeles, Los Angeles
Tobias Höllerer , University of California, Santa Barbara, Santa Barbara
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.
Virtual reality, Scene Analysis
T. Lee and T. Höllerer, "Multithreaded Hybrid Feature Tracking for Markerless Augmented Reality," in IEEE Transactions on Visualization & Computer Graphics, vol. 15, no. , pp. 355-368, 2008.