Graph-based combinations of fragment descriptors for improved 3D Object Retrieval

  • Authors:
  • Tobias Schreck;Maximilian Scherer;Michael Walter;Benjamin Bustos;Sang Min Yoon;Arjan Kuijper

  • Affiliations:
  • University of Konstanz, Germany;Technische Universität, Darmstadt, Germany;Technische Universität, Darmstadt, Germany;University of Chile, Chile;Yonsei University, Korea;Fraunhofer Institute for Computer Graphics Research, Darmstadt, Germany

  • Venue:
  • Proceedings of the 3rd Multimedia Systems Conference
  • Year:
  • 2012

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Abstract

3D Object Retrieval is an important field of research with many application possibilities. One of the main goals in this research is the development of discriminative methods for similarity search. The descriptor-based approach to date has seen a lot of research attention, with many different extraction algorithms proposed. In previous work, we have introduced a simple but effective scheme for 3D model retrieval based on a spatially fixed combination of 3D object fragment descriptors. In this work, we propose a novel flexible combination scheme based on finding the best matching fragment descriptors to use in the combination. By an exhaustive experimental evaluation on established benchmark data we show the capability of the new combination scheme to provide improved retrieval effectiveness. The method is proposed as a versatile and inexpensive method to enhance the effectiveness of a given global 3D descriptor approach.