Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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A Fast Adaptive Corner Detection Based on Curvature Scale Space

  • Nguyen, Van Hau (School of Electrical Engineering, University of Ulsan) ;
  • Woo, Kyung-Haeng (School of Electrical Engineering, University of Ulsan) ;
  • Choi, Won-Ho (School of Electrical Engineering, University of Ulsan)
  • Received : 2011.01.31
  • Accepted : 2011.04.13
  • Published : 2011.05.31
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Abstract

Corners play an important role in describing object features for pattern recognition and identification. This paper proposed a fast and adaptive corner detector in both coarse and fine scale, followed by the framework of the curvature scale space (CSS). An adaptive curvature threshold and evaluating of angles of corner candidates are added to original CSS to remove round corners and false corners in the detecting process. The efficiency of proposed method is compared to other popular detectors in both accuracy criteria, stability and time consuming. Results illustrate that the proposed method performs extremely surpass in both areas.

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References

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