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Shape Similarity Based on a Treelet Kernel with Edition

  • Sébastien Bougleux
  • François-Xavier Dupé
  • Luc Brun
  • Myriam Mokhtari
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7626)

Abstract

Several shape similarity measures, based on shape skeletons, are designed in the context of graph kernels. State-of-the-art kernels act on bags of walks, paths or trails which decompose the skeleton graph, and take into account structural noise through edition mechanisms. However, these approaches fail to capture the complexity of junctions inside skeleton graphs due to the linearity of the patterns. To overcome this drawback, tree patterns embedded in the plane have been proposed to decompose the skeleton graphs. In this paper, we reinforce the behaviour of kernel based on tree patterns by explictly incorporating an edition mechanism adapted to tree patterns.

Keywords

shape similarity kernel methods tree patterns edition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Sébastien Bougleux
    • 1
  • François-Xavier Dupé
    • 2
  • Luc Brun
    • 3
  • Myriam Mokhtari
    • 3
  1. 1.GREYC CNRS UMR 6072Université de Caen Basse-NormandieFrance
  2. 2.CNRS UMR 7279 - LIFAix-Marseille UniversitéFrance
  3. 3.GREYC CNRS UMR 6072ENSICAENFrance

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