Skip to main content

Part of the book series: Studies in Computational Intelligence ((SCI,volume 158))

  • 1362 Accesses

Summary

In this chapter, we address the problem of robust point-location in a generalized d-dimensional Voronoi diagram. The exact point location requires the solution for expressions of degree four. A natural question is what can be done using expression of smaller degree. We apply polyhedral metrics for this task. In general dimensions two Minkowski metrics can be used: L 1 (Manhattan metric) and L  ∞  (supremum metric). The approximation factor is \(\sqrt d\) and the computation uses expressions of degree one.

We also show that a polygonal metric can be applied in two dimensions. The computation involves only \(O(\lg k)\) calls of the algorithm ESSA for detecting the sign of a sum using floating-point arithmetic.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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.

References

  1. Blum, L., Cucker, F., Shub, M., Smale, S.: Complexity and real computation. Springer, Heidelberg (1997)

    MATH  Google Scholar 

  2. Burnikel, C.: Exact Computation of Voronoi Diagrams and Line Segment Intersections. Ph.D thesis, Universität des Saarlandes (March 1996)

    Google Scholar 

  3. Chen, Z., Papadopoulou, E., Xu, J.: Robustness of algorithm for k-gon Voronoi diagram construction. Information Processing Letters 97(4), 138–145 (2006)

    Article  MathSciNet  Google Scholar 

  4. Chew, L.P., Drysdale III, R.L.: Voronoi diagrams based on convex distance functions. In: Proc. 1st Annu. ACM Sympos. Comput. Geom., pp. 235–244 (1985)

    Google Scholar 

  5. Dey, T.K., Sugihara, K., Bajaj, C.L.: Delaunay triangulations in three dimensions with finite precision arithmetic. Computer Aided Geometric Design 9, 457–470 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  6. Edelsbrunner, H., Mücke, E.: Simulation of simplicity: a technique to cope with degenerate cases in geometric algorithms. In: Proc. 4th Annu. ACM Sympos. Comput. Geom., pp. 118–133 (1988)

    Google Scholar 

  7. Fortune, S., Wyk, C.: Efficient exact arithmetic for computational geometry. In: Proc. 9th Annu. ACM Sympos. Comput. Geom., pp. 163–172 (1993)

    Google Scholar 

  8. Gavrilova, M.: A reliable algorithm for computing the generalized Voronoi diagram for a set of spheres in the Euclidean d-dimensional space. In: Canadian Conference on Computational Geometry, pp. 82–87 (2002)

    Google Scholar 

  9. Gavrilova, M., Bespamyatnikh, S.: On exact solution of a point-location problem in a system of d-dimensional hyperbolic surfaces. In: Canadian Conference on Computational Geometry, pp. 136–139 (2003)

    Google Scholar 

  10. Gavrilova, M., Ratschek, H., Rokne, J.: Exact computation of Voronoi diagram and Delaunay triangulation. Reliable Computing 6(1), 39–60 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  11. Gavrilova, M.: Algorithm library development for complex biological and mechanical systems. In: DIMACS Workshop on Implementation of Geometric Algorithms (2002)

    Google Scholar 

  12. Hoffmann, C.M., Hopcroft, J.E., Karasik, M.S.: Towards implementing robust geometric computations. In: Proc. 4th Annu. ACM Sympos. Comput. Geom., pp. 106–117 (1988)

    Google Scholar 

  13. Krishnan, S., Foskey, M., Culver, T., Keyser, J., Manocha, D.: PRECISE: Efficient multiprecision evaluation of algebraic roots and predicates for reliable geometric computations. In: Proc. 17th Annu. ACM Sympos. Comput. Geom., pp. 274–283 (2001)

    Google Scholar 

  14. Liotta, G., Preparata, F.P., Tamassia, R.: Robust proximity queries: an illustration of degree-driven algorithm design. SIAM J. Comput. 28(3), 864–889 (1998)

    Article  MathSciNet  Google Scholar 

  15. McAllister, M., Kirkpatrick, D., Snoeyink, J.: A compact piecewise-linear Voronoi diagram for convex sites in the plane. Discrete Comput. Geom. 15, 73–105 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  16. S. Naher, The LEDA user manual, Version 3.1 (January 16, 1995), ftp.mpi-sb.mpg.de

  17. Stewart, A.J.: Robust point location in approximate polygons.In: Canadian Conference on Computational Geometry, pp. 179–182 (1991)

    Google Scholar 

  18. Sugihara, K., Iri, M.: A robust topology-oriented incremental algorithm for Voronoi diagrams. International Journal of Computational Geometry and Applications 4(2), 179–228 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  19. Widmayer, P., Wu, Y.F., Wong, C.K.: On some distance problems in fixed orientations. SIAM J. Comput. 16, 728–746 (1987)

    Article  MATH  MathSciNet  Google Scholar 

  20. Yap, C., Dube, T.: The exact computation paradigm. In: Du, D.-Z., Hwang, F.K. (eds.) Computing in Euclidean Geometry, 2nd edn., World Scientific Press, Singapore (1995)

    Google Scholar 

  21. Yap, C.K.: Symbolic treatment of geometric degeneracies. Journal of Symbolic Computation 10, 349–370 (1990)

    Article  MATH  MathSciNet  Google Scholar 

  22. Yap, C.K.: Toward exact geometric computation. Computational Geometry: Theory and Applications 7, 3–23 (1997)

    MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Bereg, S., Gavrilova, M.L., Zhang, Y. (2009). Robust Point-Location in Generalized Voronoi Diagrams. In: Gavrilova, M.L. (eds) Generalized Voronoi Diagram: A Geometry-Based Approach to Computational Intelligence. Studies in Computational Intelligence, vol 158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85126-4_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-85126-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85125-7

  • Online ISBN: 978-3-540-85126-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics