Many-to-Many Matching under the l1 Norm

  • M. Fatih Demirci
  • Yusuf Osmanlıoğlu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5716)

Abstract

The problem of object recognition can be formulated as matching feature sets of different objects. Segmentation errors and scale difference result in many-to-many matching of feature sets, rather than one-to-one. This paper extends a previous algorithm on many-to-many graph matching. The proposed work represents graphs, which correspond to objects, isometrically in the geometric space under the l 1 norm. Empirical evaluation of the algorithm on a set of recognition trails, including a comparison with the previous approach, demonstrates the efficacy of the overall framework.

Keywords

graph embedding Earth Mover’s Distance graph matching object recognition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • M. Fatih Demirci
    • 1
  • Yusuf Osmanlıoğlu
    • 1
  1. 1.Computer Engineering DepartmentTOBB University of Economics and TechnologyAnkaraTurkey

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