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

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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.

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Acknowledgements

This research has been co-financed by the European Union (European Social Fund—ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF)—Research Funding Program: THALIS.

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Authors and Affiliations

  1. Computer Graphics Laboratory, Department of Informatics and Telecommunications, University of Athens, Athens, Greece

    Konstantinos Sfikas & Theoharis Theoharis

  2. IDI, NTNU, Trondheim, Norway

    Theoharis Theoharis

  3. Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100, Xanthi, Greece

    Ioannis Pratikakis

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  1. Konstantinos Sfikas
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  3. Ioannis Pratikakis
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Correspondence to Konstantinos Sfikas.

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Sfikas, K., Theoharis, T. & Pratikakis, I. Non-rigid 3D object retrieval using topological information guided by conformal factors. Vis Comput 28, 943–955 (2012). https://doi.org/10.1007/s00371-012-0714-z

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