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Efficient matching of space curves

  • Tomáš Pajdla
  • Luc van Gool
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 970)

Abstract

The aim is to provide invariant signatures for matching space curves under Euclidean motions. Semi-differential rather than differential invariants can be used for the description and recognition of space curves. They have the advantage of being more robust, but on the other hand introduce the problem of finding good reference points. In order to avoid a search for such points, an alternative scheme is propounded. Strategies are used that make the reference point dependent on the point where the shape is being described. Actually, the reference point is attached to the point under scrutiny in an invariant manner. “Sliding Pairs of Constant Total Curvature” were seen experimentally to provide stable point pairs on all scales allowing to reduce the size of the description from n2 to n, where n is the number of evenly spaced sample points taken from a curve.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Tomáš Pajdla
    • 1
  • Luc van Gool
    • 2
  1. 1.Computer Vision LaboratoryCzech Technical UniversityPraha 2
  2. 2.Katholieke Universiteit Leuven ESATLeuven

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