A Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset

  • Makoto Hasegawa
  • Salvatore Tabbone
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7626)


In this paper we propose a shape recognition approach applied to a dataset composed of 512 shoeprints where shapes are strongly occluded. We provide a local adaptation of the HRT (Histogram Radon Transform) descriptor. A shoeprint is decomposed into its connect components and describes locally by the local HRT. Then, following this description, we find the best local matching between the connected components and the similarity between two images is defined as mean of local similarity measures.


Shape matching local descriptor histogram of Radon transform 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Makoto Hasegawa
    • 1
  • Salvatore Tabbone
    • 1
  1. 1.Université de Lorraine-LORIA, UMR 7503Vandoeuvre-lès-NancyFrance

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