Basic Image Features (BIFs) Arising from Approximate Symmetry Type

  • Lewis D. Griffin
  • Martin Lillholm
  • Mike Crosier
  • Justus van Sande
Conference paper

DOI: 10.1007/978-3-642-02256-2_29

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5567)
Cite this paper as:
Griffin L.D., Lillholm M., Crosier M., van Sande J. (2009) Basic Image Features (BIFs) Arising from Approximate Symmetry Type. In: Tai XC., Mørken K., Lysaker M., Lie KA. (eds) Scale Space and Variational Methods in Computer Vision. SSVM 2009. Lecture Notes in Computer Science, vol 5567. Springer, Berlin, Heidelberg

Abstract

We consider detection of local image symmetry using linear filters. We prove a simple criterion for determining if a filter is sensitive to a group of symmetries. We show that derivative-of-Gaussian (DtG) filters are excellent at detecting local image symmetry. Building on this, we propose a very simple algorithm that, based on the responses of a bank of six DtG filters, classifies each location of an image into one of seven Basic Image Features (BIFs). This effectively and efficiently realizes Marr’s proposal for an image primal sketch. We summarize results on the use of BIFs for texture classification, object category detection, and pixel classification.

Keywords

Gaussian Derivatives Hermite Transform Group Theory 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Lewis D. Griffin
    • 1
  • Martin Lillholm
    • 1
  • Mike Crosier
    • 1
  • Justus van Sande
    • 2
  1. 1.Computer ScienceUniversity College LondonLondonUK
  2. 2.Biomedical EngineeringEindhoven University of TechnologyThe Netherlands

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