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Encyclopedia of Database Systems pp 1125–1128Cite as

Feature-Based 3D Object Retrieval

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Synonyms

Three-Dimensional similarity search; Shape descriptors

Definition

3D objects are an important type of data with many applications in domains such as engineering and computer aided design, science, simulation, visualization, cultural heritage, and entertainment. Technological progress in acquisition, modeling, processing, and dissemination of 3D geometry leads to the accumulation of large repositories of 3D objects. Consequently, there is a strong need to research and develop technology to support the effective retrieval of 3D object data from 3D repositories.

The feature-based approach is a prominent technique to implement content-based retrieval functionality for 3D object databases. It relies on extracting characteristic numerical attributes (so-called features) from a 3D object, usually forming high-dimensional vectors which represent the 3D object, or parts of it. The 3D feature vectors in turn are used to estimate object similarity for content-based retrieval, and can...

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Recommended Reading

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Chile, Santiago, Chile

    Benjamin Bustos

  2. Darmstadt University of Technology, Darmstadt, Germany

    Tobias Schreck

Authors
  1. Benjamin Bustos
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  2. Tobias Schreck
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Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

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© 2009 Springer Science+Business Media, LLC

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Bustos, B., Schreck, T. (2009). Feature-Based 3D Object Retrieval. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_161

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