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Augmented reality registration algorithm based on nature feature recognition

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Abstract

This paper presents an improved key frame based augmented reality registration algorithm for real-time motion tracking in outdoor environment. In such applications, wide-baseline feature matching is a critical problem. In this paper, we apply randomized tree method to match key points extracted from the input image to those key frames as a classification problem. Extended Kalman filter is also utilized for jitter correction. A video see-through mobile augmented reality system is built for the on-site digital reconstruction of Yuanmingyuan Garden. Experimental results demonstrate that this algorithm is real-time, robust and effective for outdoor tracking.

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Authors and Affiliations

  1. School of Optoelectronics, Beijing Institute of Technology, Beijing, 100081, China

    Jing Chen, YongTian Wang, JunWei Guo, Wei Liu, JingDun Lin, Kang Xue & Yue Liu

  2. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China

    YongTian Wang

  3. School of Software, Beijing Institute of Technology, Beijing, 100081, China

    GangYi Ding

Authors
  1. Jing Chen
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  2. YongTian Wang
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  3. JunWei Guo
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  4. Wei Liu
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  5. JingDun Lin
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  6. Kang Xue
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  7. Yue Liu
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  8. GangYi Ding
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Correspondence to Jing Chen.

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Chen, J., Wang, Y., Guo, J. et al. Augmented reality registration algorithm based on nature feature recognition. Sci. China Inf. Sci. 53, 1555–1565 (2010). https://doi.org/10.1007/s11432-010-4026-5

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  • DOI: https://doi.org/10.1007/s11432-010-4026-5

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