Using mathematical morphology for similarity search of 3D objects

  • Authors:
  • Roberto Lam;J. M. Hans du Buf

  • Affiliations:
  • University of Algarve, Instituto Superior Engenharia, Faro, Portugal;University of Algarve, Vision Laboratory, FCT, Faro, Portugal

  • Venue:
  • IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
  • Year:
  • 2011

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Abstract

In this paper we use the erosion and dilation operators for characterizing 3D polygonal objects. The goal is to perform a similarity search in a set of distinct objects. The method applies successive dilations and erosions of the meshes in order to compute the difference volume as a function of the size of the structuring element. Because of appropriate pre-processing, the resulting function is invariant to translation, rotation and mesh resolution. On a set of 32 complex objects with different mesh resolutions, the method achieved an average ranking rate of 1.47, with 23 objects ranked first and 6 objects ranked second.