Similarity Measure for Corner Redetection

  • Christoph Stock
  • Axel Pinz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)


Corners are important image-features for tracking applications. We present a new method to calculate the similarity of corners, which is used to improve the redetection performance of corner-based tracking applications. It is a simple and fast method to calculate a scaled measure of similarity, which aggregates basic corner features like dihedral angle, cornerness, and corner orientation. Experimental results verify that the similarity measure is well suited for tracking applications.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Christoph Stock
    • 1
  • Axel Pinz
    • 1
  1. 1.Institute of Electrical Measurement and Measurement Signal ProcessingGraz University of TechnologyAustria

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