Curvature scale space corner detector with adaptive threshold and dynamic region of support

@article{He2004CurvatureSS,
  title={Curvature scale space corner detector with adaptive threshold and dynamic region of support},
  author={Xiao-Chen He and N. H. C. Yung},
  journal={Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.},
  year={2004},
  volume={2},
  pages={791-794 Vol.2}
}
Corners play an important role in object identification methods used in machine vision and image processing systems. Single-scale feature detection finds it hard to detect both fine and coarse features at the same time. On the other hand, multi-scale feature detection is inherently able to solve this problem. This paper proposes an improved multi-scale corner detector with dynamic region of support, which is based on curvature scale space (CSS) technique. The proposed detector first uses an… CONTINUE READING
Highly Influential
This paper has highly influenced 21 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 225 citations. REVIEW CITATIONS
138 Citations
8 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 138 extracted citations

225 Citations

0102030'07'10'13'16
Citations per Year
Semantic Scholar estimates that this publication has 225 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-8 of 8 references

Enhancing the curvature scale space corner detector

  • F. Mokhtarian, F. Mohanna
  • Proc. Scandinavian Conf. on Image Analysis,
  • 2001
Highly Influential
6 Excerpts

Mokhtarian and R . Suomela . “ Robust image corner detection through curvature scale space ”

  • F. Mohanna
  • IEEE Trans on Pattern Analysis and Machine…
  • 1998

Similar Papers

Loading similar papers…