Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

A hierarchical filter scheme for efficient corner detection

  • Low Level Processing I
  • Conference paper
  • First Online:
Computer Analysis of Images and Patterns (CAIP 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1296))

Included in the following conference series:

  • 162 Accesses

Abstract

There are a number of differential geometric based corner detectors in the literature. These operators require 5 or 9 convolutions with derivative kernels in 21) or 31) respectively, what is expensive in terms of time and memory requirements. In this paper we propose an efficient approach to calculate the response of these operators.

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

Refernces

  1. Beaudet, P.R.: Rotationally invariant image operators. International Joint Conference on Pattern Recognition (1978) 579–583

    Google Scholar 

  2. Berzins, V.: Accuracy of Laplacian edge detectors. Computer Vision, Graphics, and Image Processing 27 (1984) 195–210

    Google Scholar 

  3. Drescher, L., Nagel, H.H.: Volumetric model and 3D trajectory of a moving car derived from monocular TV frame sequences of a street scene. Computer Graphics and Image Processing 20 (1982) 199–228

    Google Scholar 

  4. Deriche, R, Giraudon, G.: A computational approach for corner and vertex detection. International Journal of Computer Vision 10 (2) (1993) 101–124

    Article  Google Scholar 

  5. Florack, L.:. The syntactical structure of scalar images. PHD Thesis, University of Utrecht (1993)

    Google Scholar 

  6. Guiducci, A.: Corner characterization by differential geometry techniques. Pattern Recognition Letters 8 (1988) 311–318

    Article  Google Scholar 

  7. Kitchen, L., Rosenfeld, A.: Gray-level corner detection. Pattern Recognition Letters 1 (2) (1982) 95–102

    Article  Google Scholar 

  8. Krueger, W.M., Phillips, K.: The geometry of differential operators with application to image processing. IEEE PAMI 11 (1989) 1252–1264

    Google Scholar 

  9. Koenderink, J., van Doorn, A.: Gerneric neighborhood operators. IEEE PAMI 14 (6) (1992) 597–605

    Google Scholar 

  10. Lipschutz, M.: Differential Geometry. McGraw-Hill: New York (1969)

    Google Scholar 

  11. Monga, O., Benayoun, S.: Using partial derivatives of 3D images to extract typical surface features. Computer Vision and Image Understanding 61 (2) (1995) 171–189

    Article  Google Scholar 

  12. Nagel, H.H.: Displacement vectors derived from second-order intensity variations in image sequences. Computer Vision, Graphics and Image Processing 21 (1983) 85–117

    Google Scholar 

  13. Rohr, K.: Localization properties of direct corner detectors. Journal of Mathematical Imaging and Vision 4 (1994) 139–150

    Article  MathSciNet  Google Scholar 

  14. Thirion, J.P., Gourdon, A.: Computing the differential characteristics of isointensity surfaces. Computer Vision and Image Understanding 61 (2) (1995) 190–202

    Article  Google Scholar 

  15. Van den Elsen, P.: Automatic registration of CT and MR brain images using correlation of geometrical features. IEEE Transactions on Medical Imaging 14 (2) (1995) 384–396

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. GSF - National Research Center for Environment and Health, Ingolstädter Landstr. 1, D-85764, Oberschleißheim, Germany

    Tobias Stammberger, Markus Michaelis & Karl-Hans Englmeier

  2. Klinikum Großhadern, Institut für Radiologische Diagnostik, Marchioninistr. 15, D-81337, München, Germany

    Tobias Stammberger & Maximilian Reiser

Authors
  1. Tobias Stammberger
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Markus Michaelis
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Maximilian Reiser
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Karl-Hans Englmeier
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tobias Stammberger .

Editor information

Gerald Sommer Kostas Daniilidis Josef Pauli

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Stammberger, T., Michaelis, M., Reiser, M., Englmeier, KH. (1997). A hierarchical filter scheme for efficient corner detection. In: Sommer, G., Daniilidis, K., Pauli, J. (eds) Computer Analysis of Images and Patterns. CAIP 1997. Lecture Notes in Computer Science, vol 1296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63460-6_120

Download citation

  • DOI: https://doi.org/10.1007/3-540-63460-6_120

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63460-7

  • Online ISBN: 978-3-540-69556-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation