Skip to main content

Geometric data structures for computer graphics: an overview

  • Conference paper
Theoretical Foundations of Computer Graphics and CAD

Part of the book series: NATO ASI Series ((NATO ASI F,volume 40))

Abstract

In computational geometry many sophisticated data structures have been designed for storing geometric objects. Many of these structures might be very useful for solving a number of problems in computer graphics and, hence, it is important that people in computer graphics know these data structures. In this paper we discuss a number of such geometric data structures and indicate their advantages and uses, especially in computer graphics. The structures we consider are:

  • The quad-tree is probably the most well-known data structure in computer graphics. Quad-trees can be used to store planar objects, both in image space and in object space. They use little storage and often allow for fast retrieval of geometric information.

  • Range trees are a clear example of so-called multi-dimensional data structures. They allow for very fast searching to locate e.g. the points in a set lying in a given rectangle.

  • Segment trees store intervals in an efficient way. They can be used for solving problems concerning e.g. line segments.

  • Many geometric data structures are static, i.e., they don’t allow for insertions and deletions of objects. Some general dynamisation techniques will be discussed that can be used for turning static data structures into dynamic structures. With the description of the different data structures examples are given to show how the structures can be used for solving actual geometric problems. For example we will show how the segment tree can be used to solve the windowing problem efficiently.

With the description of the different data structures examples are given to show how the structures can be used for solving actual geometric problems. For example we will show how the segment tree can be used to solve the windowing problem efficiently.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bentley, J.L., Multidimensional binary search trees used for associated searching, C. ACM 18 (1975), 509–517.

    Article  MATH  Google Scholar 

  2. Bentley, J.L., Multidimensional binary search trees in database applications, IEEE Trans. on Software Eng. SE-5 (1979), 333–340.

    Google Scholar 

  3. Bentley, J.L., Decomposable searching problems, Inform. Proc. Lett. 8 (1979), 244–251.

    Article  MATH  MathSciNet  Google Scholar 

  4. Bentley, J.L., and J.H. Friedman, Data structures for range searching, ACM Comput. Surveys 11 (1979), 397–409.

    Article  Google Scholar 

  5. Bentley, J.L., and H.A. Maurer, Efficient worst-case data structures for range searching, Acta Inform. 13 (1980), 155–168.

    Article  MATH  MathSciNet  Google Scholar 

  6. Bentley, J.L., and J.B. Saxe, Decomposable searching problems I: static to dynamic transformations, J. Algorithms 1 (1980), 301–358.

    Article  MATH  MathSciNet  Google Scholar 

  7. Bentley, J.L. and D.F. Stanat, Analysis of range searches in quad-trees, Inform Proc. Lett. 3 (1975), 170–173.

    Article  MATH  Google Scholar 

  8. Bentley, J.L., and D. Wood, An optimal algorithm for reporting intersections of rectangles, IEEE Trans. on Computers C-29 (1980), 571–577.

    MathSciNet  Google Scholar 

  9. Edelsbrunner, H., A note on dynamic range searching, Bull of the EATCS 15 (1981), 34–40.

    Google Scholar 

  10. Edelsbrunner, H., Intersection problems in computational geometry ,Techn. Rep. F93, Inst. f. Information Processing, TU Graz, 1982.

    Google Scholar 

  11. Edelsbrunner, H., and J. van Leeuwen, Multidimensional data structures and algorithms: a bibliography ,Techn. Rep. F105, Inst. f. Information Processing, TU Graz, 1982.

    Google Scholar 

  12. Finkel, R.A., and J.L. Bentley, Quad-trees; a data structure for retrieval on composite keys, Acta Inform. 4 (1974), 1–9.

    Article  MATH  Google Scholar 

  13. Kersten, M.L., and P. van Emde Boas, Local optimizations of quad-trees ,Techn. Rep. IR-51, Free University Amsterdam, 1979.

    Google Scholar 

  14. Lueker, G.S., A data structure for orthogonal range queries, Proc. 19th IEEE Symp. on Foundations of Computer Science ,1978, 28–34.

    Google Scholar 

  15. McCreight, E.M., Priority search trees, SIAM J. Computing 14 (1985), 257–276.

    Article  MATH  MathSciNet  Google Scholar 

  16. Mehlhorn, K., Data structures and algorithms 3: Multi-dimensional searching and computational geometry ,Springer-Verlag, Berlin, 1984.

    MATH  Google Scholar 

  17. Overmars, M.H., The design of dynamic data structures ,Lect. Notes in Computer Science 156, Springer-Verlag, 1983.

    Google Scholar 

  18. Overmars, M.H., Range searching in a set of line segments, Proc. 1st ACM Symp. on Computational Geometry ,1985, 177–185.

    Google Scholar 

  19. Overmars, M.H., Geometric data structures for computer graphics, in: R.A. Earnshaw (ed.), Fundamental algorithms for computer graphics ,NATO ASI Series F Vol 17, Springer-Verlag, Berlin, 1985, 919–931.

    Chapter  Google Scholar 

  20. Overmars, M.H., Dynamization of order decomposable set problems, J. Algorithms 2 (1981), 245–260.

    Article  MATH  MathSciNet  Google Scholar 

  21. Overmars, M.H., and J. van Leeuwen, Dynamic multi-dimensional data structures based on quad-and k-d trees, Acta Inform. 17 (1982), 267–285.

    Article  MATH  MathSciNet  Google Scholar 

  22. Preparata, F.P., and M.I. Shamos, Computational geometry ,Springer-Verlag, New York, 1985.

    Google Scholar 

  23. Rogers, D.F., Procedural elements for computer graphics ,McGraw-Hill, New York, 1985.

    Google Scholar 

  24. Samet, H., Deletion in two dimensional quad trees, C. ACM23 (1980), 703–10.

    Google Scholar 

  25. Samet, H., Bibliography on quadtrees and related hierarchical data structures, in: L. Kessenaar, F. Peters and M. van Lierop (Ed.), Data structures for raster graphics ,Springer-Verlag, Berlin, 1986, 181–201.

    Chapter  Google Scholar 

  26. Samet, H., C.A. Shaffer and R.E. Webber, Using linear quadtrees to store vector data, in: L. Kessenaar, F. Peters and M. van Lierop (Ed.), Data structures for raster graphics ,Springer-Verlag, Berlin, 1986, 91–123.

    Chapter  Google Scholar 

  27. Scholten, H.W., and M.H. Overmars, Genereal methods for adding range restrictions to decomposable searching problems ,Techn. Rep. RUU-CS-85-21, Dept. of Comp. Science, University of Utrecht, 1985.

    Google Scholar 

  28. Silva-Filho, Y.V., Average case analysis of region search in balanced k-d trees, Inform. Proc. Lett. 8 (1979), 219–223.

    Article  MATH  MathSciNet  Google Scholar 

  29. Warnock, J.E., A hidden line algorithm for halftone picture representation ,Techn. Rep. 4–5, Computer Science Dept., University of Utah, 1968.

    Google Scholar 

  30. Warnock, J.E., A hidden-surface algorithm for computer generated halftone pictures ,Techn. Rep. 4–15, Computer Science Dept., University of Utah, 1969.

    Google Scholar 

  31. Willard, D.E., Predicate-oriented database search algorithms ,Garland Publishing Company, New York, 1979.

    Google Scholar 

  32. Willard, D.E., New data structures for orthogonal range queries, SIAM J. Computing 14 (1985), 232–253.

    Article  MATH  MathSciNet  Google Scholar 

  33. Willard, D.E., and G.S. Lueker, Adding range restriction capability to dynamic data structures, J. ACM 32 (1985), 597–617.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1988 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Overmars, M.H. (1988). Geometric data structures for computer graphics: an overview. In: Earnshaw, R.A. (eds) Theoretical Foundations of Computer Graphics and CAD. NATO ASI Series, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83539-1_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-83539-1_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-83541-4

  • Online ISBN: 978-3-642-83539-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics