Grouping of Semantically Similar Image Positions

  • Lutz Priese
  • Frank Schmitt
  • Nils Hering
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5575)

Abstract

Features from the Scale Invariant Feature Transformation (SIFT) are widely used for matching between spatially or temporally displaced images. Recently a topology on the SIFT features of a single image has been introduced where features of a similar semantics are close in this topology. We continue this work and present a technique to automatically detect groups of SIFT positions in a single image where all points of one group possess a similar semantics. The proposed method borrows ideas and techniques from the Color-Structure-Code segmentation method and does not require any user intervention.

Keywords

Image analysis segmentation semantics SIFT 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Lutz Priese
    • 1
  • Frank Schmitt
    • 1
  • Nils Hering
    • 1
  1. 1.Institute for Computational VisualisticsUniversity Koblenz-LandauKoblenzGermany

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