Skip to main content
SpringerLink
Log in

Two-Dimensional Shape Retrieval

  • Living reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 42 Accesses

Definition

Shape is an important image feature, it is the geometrical information of an object after removing position, scale and rotational effects [3]. A shape is often represented by the contour map extracted from the images. Given a query 2D shape, 2D shape retrieval retrieves a ranked list of similar 2D shapes from a collection of 2D polygonal models (contour points) based on the shape characteristics.

Fig. 1
figure 1

Gives an example object shapes, which are represented by the extracted contour maps

Full size image

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Recommended Reading

  1. Attalla E, Siy P. Robust shape similarity retrieval based on contour segmentation polygonal multiresolution and elastic matching. Pattern Recognit. 2005;38(12):2229–41.

    Google Scholar 

  2. Belongie S, Malik J, Puzicha J. Shape matching and object recognition using shape contexts. IEEE Trans Pattern Anal Mach Intel. 2002;24(4):509–22.

    Google Scholar 

  3. Dryden IL, Mardia KV. Statistical shape analysis. New York:Wiley; 1998.

    Google Scholar 

  4. Grigorescu C, Petkov N. Distance sets for shape filters and shape recognition. IEEE Trans Image Process. 2003; 12(10):1274–86.

    Google Scholar 

  5. Lu G, Sajjanhar A. Region-based shape representation and similarity measure suitable for content-based image retrieval. Multimedia Syst, 1999;7(2):165–74.

    Google Scholar 

  6. Mehrotra R, Gary JE. Similar-shape retrieval in shape data management. Computer. 1995;28(9):57–62.

    Google Scholar 

  7. Mokhtarian F. Bober M. Curvature scale space representation: theory, applications, and MPEG-7 standardization. Norwell:Kluwer; 2003.

    Google Scholar 

  8. Zhang D, Lu G. Evaluation of mpeg-7 shape descriptors against other shape descriptors. Multimedia Syst, 2003;9(1):15–30.

    Google Scholar 

  9. Zhang J, Zhang X, Krim H, Walter GG. Object representation and recognition in shape spaces. Pattern Recognit. 2003 36(5):1143–54.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Hong Kong University of Science and Technology, Hong Kong, China

    Lei Chen

  2. School of Information Technology and Electrical Engineering, University of Queensland, St Lucia Campus, 4072, Brisbane, QLD, Australia

    Xiaofang Zhou

Authors
  1. Lei Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiaofang Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lei Chen .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. School of Inf. Tech. & Elec. Eng., Univ. of Queensland, St Lucia Campus, 4072, Brisbane, QLD, Australia

    Xiaofang Zhou

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media LLC

About this entry

Cite this entry

Chen, L., Zhou, X. (2016). Two-Dimensional Shape Retrieval. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_3-2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_3-2

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

Publish with us

Policies and ethics

Search

Navigation