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Object Recognition by Implicit Invariants

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Computer Analysis of Images and Patterns (CAIP 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4673))

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Abstract

The use of traditional moment invariants is limited to a certain set of simple geometric transforms, such as rotation, scaling and affine transform. This paper presents a novel concept of so-called implicit moment invariants, which enable us to recognize objects under a broader set of geometric deformations.

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References

  1. Hu, M.K.: Visual pattern recognition by moment invariants. IRE Trans. Information Theory 8, 179–187 (1962)

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  2. Flusser, J., Suk, T.: Pattern recognition by affine moment invariants. Pattern Recognition 26, 167–174 (1993)

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  6. Amsterdam Library of Object Images: http://staff.science.uva.nl/~aloi/

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Author information

Authors and Affiliations

  1. Institute of Information Theory and Automation, AS CR, Pod vodárenskou věží 4, 182 08, Prague 8, Czech Republic

    Jan Flusser & Filip Šroubek

  2. The Flinders University of South Australia, Adelaide, Australia

    Jaroslav Kautsky

Authors
  1. Jan Flusser
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  2. Jaroslav Kautsky
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  3. Filip Šroubek
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Editor information

Walter G. Kropatsch Martin Kampel Allan Hanbury

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© 2007 Springer-Verlag Berlin Heidelberg

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Flusser, J., Kautsky, J., Šroubek, F. (2007). Object Recognition by Implicit Invariants. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74272-2_106

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  • DOI: https://doi.org/10.1007/978-3-540-74272-2_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74271-5

  • Online ISBN: 978-3-540-74272-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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