Real-Time Detection and Tracking for Augmented Reality on Mobile Phones

@article{Wagner2010RealTimeDA,
  title={Real-Time Detection and Tracking for Augmented Reality on Mobile Phones},
  author={Daniel Wagner and Gerhard Reitmayr and Alessandro Mulloni and Tom Drummond and Dieter Schmalstieg},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2010},
  volume={16},
  pages={355-368}
}
In this paper, we present three techniques for 6DOF natural feature tracking in real time on mobile phones. We achieve interactive frame rates of up to 30 Hz for natural feature tracking from textured planar targets on current generation phones. We use an approach based on heavily modified state-of-the-art feature descriptors, namely SIFT and Ferns plus a template-matching-based tracker. While SIFT is known to be a strong, but computationally expensive feature descriptor, Ferns classification… CONTINUE READING
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