Scalable Real-time Planar Targets Tracking for Digilog Books

We propose a novel 3D tracking method that supports several hundreds of
pre-trained potential planar targets without losing real-time performance.
This goes well beyond the state-of-the-art, and to reach this level of
performances, two threads run in parallel: The foreground thread tracks
feature points from frame-to-frame to ensure real-time performances, while a
background thread aims at recognizing the visible targets and estimating their
poses. The latter relies on a coarse-to-fine approach: Assuming that one
target is visible at a time, which is reasonable for digilog books applications,
it first recognizes the visible target with an image retrieval algorithm, then
matches feature points between the target and the input image to estimate the
target pose. This background thread is more demanding than the foreground
one, and is therefore several times slower. We therefore propose a simple but
effective mechanism for the background thread to communicate its results to
the foreground thread without lag. Our implementation runs at more than 125
frames per second, with 314 potential planar targets. Its applicability is
demonstrated with an Augmented Reality book application.

Category:

Science & Technology

Tags:

• Digilog Book
• AR
• augmented reality
• 증강현실
• gist
• GIST
• CTI