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Curvature Correlograms for Content Based Retrieval of 3D Objects

  • G. Antini
  • S. Berretti
  • A. Del Bimbo
  • P. Pala
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

Abstract

Along with images and videos, 3D models have raised a certain interest for a number of reasons, including advancements in 3D hardware and software technologies, their ever decreasing prices and increasing availability, affordable 3D authoring tools, and the establishment of open standards for 3D data interchange. The resulting proliferation of 3D models demands for tools supporting their effective and efficient management, including archival and retrieval.

In order to support effective retrieval by content of 3D objects and enable retrieval by object parts, information about local object structure should be combined with spatial information on object surface. In this paper, as a solution to this requirement, we present a method relying on curvature correlograms to perform description and retrieval by content of 3D objects.

Experimental results are presented both to show results of sample queries by content and to compare—in terms of precision/recall figures—the proposed solution to alternative techniques.

Keywords

Object Surface Mesh Vertex Surface Segment Geometric Moment Select Feature Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • G. Antini
    • 1
  • S. Berretti
    • 1
  • A. Del Bimbo
    • 1
  • P. Pala
    • 1
  1. 1.Dipartimento di Sistemi e InformaticaUniversità degli Studi di FirenzeFirenzeItaly

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