Abstract
A keyframe based augmented reality registration algorithm was proposed applying for the digital reconstruction of the Yuanmingyuan heritage site. Randomized tree method was used to solve the wide-baseline matching of keypoints extracted from the input image to those keyframes as a classification problem. A video see-through mobile augmented reality system was built to test this algorithm. Experimental test demonstrates that this algorithm is real-time, robustness and effective for outdoor tracking.
Original language | English |
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Pages (from-to) | 424-428 |
Number of pages | 5 |
Journal | Xitong Fangzhen Xuebao / Journal of System Simulation |
Volume | 22 |
Issue number | 2 |
Publication status | Published - Feb 2010 |
Keywords
- Camera tracking
- Feature matching
- Outdoor augmented reality
- Randomized tree