ORB: An efficient alternative to SIFT or SURF

@article{Rublee2011ORBAE,
  title={ORB: An efficient alternative to SIFT or SURF},
  author={Ethan Rublee and Vincent Rabaud and Kurt Konolige and Gary R. Bradski},
  journal={2011 International Conference on Computer Vision},
  year={2011},
  pages={2564-2571}
}
Feature matching is at the base of many computer vision problems, such as object recognition or structure from motion. Current methods rely on costly descriptors for detection and matching. In this paper, we propose a very fast binary descriptor based on BRIEF, called ORB, which is rotation invariant and resistant to noise. We demonstrate through experiments how ORB is at two orders of magnitude faster than SIFT, while performing as well in many situations. The efficiency is tested on several… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 28 references

Natural feature detecti on on mobile phones with 3D FAST

  • A. Weimert, X. Tan, X. Yang
  • Int. J. of Virtual Reality,
  • 2010

High-speed keypoint description and matching using dense signatures

  • M. Calonder, V. Lepetit, K. Konolige, P. Mihelich, P. Fua
  • Under review,
  • 2009

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