Skip to main content

Robust Harris-Laplace Detector by Scale Multiplication

  • Conference paper
Advances in Visual Computing (ISVC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5875))

Included in the following conference series:


This paper proposes a robust Harris-Laplace detector by scale multiplication. The specific Harris corner measure functions at adjacent scales are multiplied as a product function to magnify the corner like structures, while suppress the image noise and weak features simultaneously. Unlike the contour-based multi-scale curvature product for image corner detection, we detect the corner like features directly in intensity image. Experiments on natural images demonstrate that the proposed method has good consistency of corner detection under different noise levels.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others


  1. Tuytelaars, T., Mikolajczyk, K.: Local Invariant Feature Detectors: A Survey. Foundations and Trends in Computer Graphics and Vision 3(3), 177–280 (2008)

    Article  Google Scholar 

  2. Teh, C., Chin, R.: On the detection of dominant points on digital curves. IEEE Trans. Pattern Anal. Mach. Intell. 11, 859–872 (1989)

    Article  Google Scholar 

  3. Ji, Q., Haralick, R.: Corner detection with covariance propagation. In: Proc. of CVPR, pp. 362–367 (1997)

    Google Scholar 

  4. Mokhtarian, F., Suomela, R.: Robust image corner detection through curvature scale-space. IEEE Trans. Pattern Anal. Mach. Intell. 20(12), 1376–1381 (1998)

    Article  Google Scholar 

  5. He, X., Yung, N.: Curvature scale space corner detector with adaptive threshold and dynamic region of support. In: Proc. of ICPR, pp. 791–794 (2004)

    Google Scholar 

  6. Zhang, X., Lei, M., Yang, D., Wang, Y., Ma, L.: Multi-scale curvature product for robust image corner detection in curvature scale space. Pattern Recognition Letters 28, 545–554 (2007)

    Article  MATH  Google Scholar 

  7. Awrangjeb, M., Lu, G.: Robust Image Corner Detection based on the Chord-to-Point Distance Accumulation Technique. IEEE Trans. on Multimedia 10(6), 1059–1072 (2008)

    Article  Google Scholar 

  8. Harris, C., Stephens, M.: A combined corner and edge detector. In: Alvey Vision Conference, pp. 147–151 (1988)

    Google Scholar 

  9. Jacob, M., Unser, M.: Design of steerable filters for feature detection using Canny-like criteria. IEEE Trans. Pattern Anal. Mach. Intell. 26(8), 1007–1019 (2004)

    Article  Google Scholar 

  10. Lindeberg, T.: Feature detection with automatic scale selection. Inter. J. Comput. Vision 30(2), 79–116 (1998)

    Article  Google Scholar 

  11. Mikolajczyk, K., Schmid, C.: Scale and affine invariant interest point detectors. Inter. J. Comput. Vision 1(60), 63–86 (2004)

    Article  Google Scholar 

  12. Noble, J.: Finding corners. Image and Vision Computing 6(2), 121–128 (1988)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations


Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shi, F., Huang, X., Duan, Y. (2009). Robust Harris-Laplace Detector by Scale Multiplication. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2009. Lecture Notes in Computer Science, vol 5875. Springer, Berlin, Heidelberg.

Download citation

  • DOI:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10330-8

  • Online ISBN: 978-3-642-10331-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics