Non-rigid 3D object retrieval using topological information guided by conformal factors

  • Authors:

  • Konstantinos Sfikas;Theoharis Theoharis;Ioannis Pratikakis

  • Affiliations:

  • University of Athens, Computer Graphics Laboratory, Department of Informatics and Telecommunications, Athens, Greece;University of Athens, Computer Graphics Laboratory, Department of Informatics and Telecommunications, Athens, Greece and NTNU, IDI, Trondheim, Norway;Democritus University of Thrace, Department of Electrical and Computer Engineering, 67100, Xanthi, Greece

  • Venue:
  • The Visual Computer: International Journal of Computer Graphics - 3DOR 2011
  • Year:
  • 2012

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Abstract

Combining the properties of conformal geometry and graph-based topological information, a non-rigid 3D object retrieval methodology is proposed, which is both robust and efficient in terms of retrieval accuracy and computation speed. While graph-based methods are robust to non-rigid object deformations, they require intensive computation which can be reduced by the use of appropriate representations, addressed through geometry-based methods. In this respect, we present a 3D object retrieval methodology, which combines the above advantages in a unified manner. Furthermore, we propose a string matching strategy for the comparison of graphs which describe 3D objects.