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A hierarchical filter scheme for efficient corner detection

  • Low Level Processing I
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Computer Analysis of Images and Patterns (CAIP 1997)

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

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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.

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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
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  2. Markus Michaelis
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  3. Maximilian Reiser
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  4. Karl-Hans Englmeier
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Corresponding author

Correspondence to Tobias Stammberger .

Editor information

Gerald Sommer Kostas Daniilidis Josef Pauli

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© 1997 Springer-Verlag Berlin Heidelberg

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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

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

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63460-7

  • Online ISBN: 978-3-540-69556-1

  • eBook Packages: Springer Book Archive

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