Skip to main content

Reducing the Time Complexity of Minkowski-Sum Based Similarity Calculations by Using Geometric Inequalities

  • Conference paper
Computational Science and Its Applications – ICCSA 2004 (ICCSA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3045))

Included in the following conference series:

  • 1139 Accesses

Abstract

The similarity of two convex polyhedra A and B may be calculated by evaluating the volume or mixed volume of their Minkowski sum over a specific set of relative orientations. The relative orientations are characterized by the fact that faces and edges of A and B are parallel as much as possible. For one of these relative orientations the similarity measure is optimal. In this article we propose and test a method to reduce the number of relative orientations to be considered by using geometric inequalities in the slope diagrams of A and B. In this way the time complexity of O(n 6) is reduced to O(n 4.5). This is derived, and verified experimentally.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Veltkamp, R.C.: Shape Matching: Similarity Measures and Algorithms. Shape Modeling International, 188–196 (2001)

    Google Scholar 

  2. Heijmans, H.J.A.M., Tuzikov, A.: Similarity and symmetry measures for convex shapes using Minkowski addition. IEEE Trans. Patt. Anal. Mach. Intell. 20(9), 980–993 (1998)

    Article  Google Scholar 

  3. Tuzikov, A.V., Roerdink, J.B.T.M., Heijmans, H.J.A.M.: Similarity measures for convex polyhedra based on Minkowski addition. Pattern Recognition 33(6), 979–995 (2000)

    Article  Google Scholar 

  4. Roerdink, J.B.T.M., Bekker, H.: Similarity measure computation of convex polyhedra revisited. In: Bertrand, G., Imiya, A., Klette, R. (eds.) Digital and Image Geometry. LNCS, vol. 2243, p. 389. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  5. Bekker, H., Roerdink, J.B.T.M.: Calculating critical orientations of polyhedra for similarity measure evaluation. In: Proc. 2nd Annual IASTED International Conference on Computer Graphics and Imaging, Palm Springs, California USA, October 25-27, pp. 106–111 (1999)

    Google Scholar 

  6. Sangwine-Yager, J.R.: Mixed volumes. Handbook of convex geometry, vol. 1.2. Elsevier science publishers B.V., Amsterdam (1993)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bekker, H., Brink, A. (2004). Reducing the Time Complexity of Minkowski-Sum Based Similarity Calculations by Using Geometric Inequalities. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24767-8_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-24767-8_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22057-2

  • Online ISBN: 978-3-540-24767-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics