Skip to main content
Springer Nature Link
Log in

Effective Corner Matching for Transformed Image Identification

  • Conference paper
Advances in Multimedia Information Processing – PCM 2007 (PCM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4810))

Included in the following conference series:

  • 1175 Accesses

Abstract

There are many applications, for example image copyright protection, where transformed images of a given test image need to be identified. The solution to the identification problem consists of two main stages. In stage one, certain representative features are detected for all images. In stage two, the representative features of the test image and the stored images are compared to identify the transformed images for the test image. We have reported the technique to extract robust representative features – corners – in our previous work [1]. This paper will focus on our stage-two work on effective corner matching technique for transformed image identification. Experimental results show that the proposed corner matching technique is very much effective in identifying the transformed images for a given test image.

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Awrangjeb, M., Lu, G.: An Affine Resilient Curvature Scale-space Corner Detector. In: Proc. Int. Conf. on Acoustics, Speech, and Signal Proces, Hawaii, USA, vol. 1, pp. 1233–1236 (2007)

    Google Scholar 

  2. Awrangjeb, M., Murshed, M.: Robust Signature-based Geometric Invariant Copyright Protection. In: Proc. Int. Conf. on Image Proces, Atlanta, USA, pp. 1961–1964 (2006)

    Google Scholar 

  3. Lu, G.: Multimedia Database Management Systems. Artech House Inc., Norwood (1999)

    MATH  Google Scholar 

  4. Mokhtarian, F., Suomela, R.: Robust Image Corner Detection Through Curvature Scale Space. IEEE Trans. on Pat. Anal. and Mach. Intel. 20(12), 1376–1381 (1998)

    Article  Google Scholar 

  5. Mokhtarian, F., Mohanna, F.: Enhancing the Curvature Scale Space Corner Detector. In: Proc. Scandinavian Conf. on Image Analysis, pp. 145–152 (2001)

    Google Scholar 

  6. Zhou, D., Li, G., Liu, Y.: Effective Corner Matching Based on Delaunay Triangulation. In: Proc. Int. Conf. on Robotics and Automation, pp. 2730–2733 (2004)

    Google Scholar 

  7. Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust Wide Baseline Stereo From Maximally Stable External Regions. In: Proc. British Machine Vision Conference, pp. 384–393 (2002)

    Google Scholar 

  8. Jung, I., Lacroix, S.: A Robust Interest Points Matching Algorithm. In: Proc. Int. Conf. on Computer Vision, vol. 2, pp. 538–543 (2001)

    Google Scholar 

  9. You, J., Pissaloux, E., Cohen, H.: A Hierarchical Image Matching Scheme Based on the Dynamic Detection of Interesting Points. In: Proc. Int. Conf. on Acoustics, Speech, and Signal Processing, vol. 4, pp. 2467–2470 (1995)

    Google Scholar 

  10. Lee, K., Kim, Y., Myung, H., Kim, J., Bien, Z.: A Corner Matching Algorithm with Uncertainty Handling Capability. In: Proc. Int. Conf. on Fuzzy Systems, vol. 3, pp. 1469–1474 (1997)

    Google Scholar 

  11. Rutkowski, W.: Recognition of Occluded Shapes Using Relaxation. Comp. Graph. and Img. Process 19(2), 111–128 (1982)

    Article  MathSciNet  Google Scholar 

  12. Horaud, R., Skordas, T.: Stereo Correspondence Through Feature Grouping and Maximal Cliques. IEEE Trans. on Pat. Anal. and Mach. Intel. 11(11), 1168–1180 (1989)

    Article  Google Scholar 

  13. Nasrabadi, N., Li, W.: Object Recognition by a Hopfield Neural Network. IEEE Trans. on Sys., Man and Cyb. 21(6), 1523–1535 (1991)

    Article  MATH  Google Scholar 

  14. Cormen, T., Leiserson, C., Rivest, R.: Introduction to Algorithms. The MIT Press, London (1999)

    Google Scholar 

  15. Klein, F.: Elementary Mathematics From an Advanced Standpoint: Geometry. The Macmillan Company, New York (1939)

    MATH  Google Scholar 

  16. Hopcroft, J., Huttenlocher, D.: On Matching Planar Points Sets Under Affine Transformations. Technical Report TR. 89-986, Department of Computer Sceince, Cornell University, New York (1989)

    Google Scholar 

  17. Awrangjeb, M., Lu, G.: A Robust Corner Matching Technique. In: Proc. Int. Conf. on Multimedia and Expo., Beijing, China, pp. 1483–1486 (2007)

    Google Scholar 

  18. http://personal.gscit.monash.edu.au/~awran/pcm.html (2007)

Download references

Author information

Authors and Affiliations

  1. Gippsland School of Information Technology, Monash University, Churchill Vic 3842, Australia

    Mohammad Awrangjeb & Guojun Lu

Authors
  1. Mohammad Awrangjeb
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Guojun Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Horace H.-S. Ip Oscar C. Au Howard Leung Ming-Ting Sun Wei-Ying Ma Shi-Min Hu

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Awrangjeb, M., Lu, G. (2007). Effective Corner Matching for Transformed Image Identification. In: Ip, H.HS., Au, O.C., Leung, H., Sun, MT., Ma, WY., Hu, SM. (eds) Advances in Multimedia Information Processing – PCM 2007. PCM 2007. Lecture Notes in Computer Science, vol 4810. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77255-2_92

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-77255-2_92

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77254-5

  • Online ISBN: 978-3-540-77255-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics