A Survey of Content Based 3D Shape Retrieval Methods

  • Authors:
  • Affiliations:
  • Venue:
  • SMI '04 Proceedings of the Shape Modeling International 2004
  • Year:
  • 2004

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Abstract

Recent developments in techniques for modeling, digitizingand visualizing 3D shapes has led to an explosion inthe number of available 3D models on the Internet and indomain-specific databases. This has led to the developmentof 3D shape retrieval systems that, given a query object,retrieve similar 3D objects. For visualization, 3D shapesare often represented as a surface, in particular polygonalmeshes, for example in VRML format. Often these modelscontain holes, intersecting polygons, are not manifold,and do not enclose a volume unambiguously. On the contrary,3D volume models, such as solid models producedby CAD systems, or voxels models, enclose a volume properly.This paper surveys the literature on methods for contentbased 3D retrieval, taking into account the applicabilityto surface models as well as to volume models. The methodsare evaluated with respect to several requirements ofcontent based 3D shape retrieval, such as: (1) shape representationrequirements, (2) properties of dissimilarity measures,(3) efficiency, (4) discrimination abilities, (5) abilityto perform partial matching, (6) robustness, and (7) necessityof pose normalization. Finally, the advantages and limitsof the several approaches in content based 3D shape retrievalare discussed.