Skip to main content

Parametric Weighted Finite Automata for Figure Drawing

  • Conference paper
Implementation and Application of Automata (CIAA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3317))

Included in the following conference series:

  • 664 Accesses

Abstract

Weighted finite automata (WFA) are nondeterministic finite automata labeled with real weights on their edges and states. They compute real functions on the unit interval. Parametric weighted finite automata (PWFA) are weighted finite automata with a multi-dimensional codomain. The only completely smooth functions computable by WFA are polynomials, while PWFA are also able to compute the sine, cosine, exponential and logarithmic function. We will present methods for constructing PWFA computing basic shapes, Catmull-Rom splines, Bezier polynomials and B-splines. We show how these possibilities can be combined to obtain a figure drawing framework that is based on a very simple automaton model that has only the operations of sum, multiplication by a constant and iteration.

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.

Similar content being viewed by others

References

  1. Albert, J., Kari, J.: Parametric Weighted Finite Automata and Iterated Function Systems. In: Proceedings L’Ingenieur et les Fractales - Fractals in Engineering, Delft, pp. 248–255 (1999)

    Google Scholar 

  2. de Boor, C.: A practical guide to splines. Springer, Heidelberg (1978)

    MATH  Google Scholar 

  3. Catmull, E., Rom, R.: A class of Local Interpolating Splines. In: Barnill, R.E., Riesenfeld, R.F. (eds.) Computer Aided Geometric Design. Academic Press, New York (1974)

    Google Scholar 

  4. Culik II, K., Kari, J.: Inference Algorithms for WFA and Image Compression. In: Fisher, Y. (ed.) Fractal Image Compression. Springer, Heidelberg (1995)

    Google Scholar 

  5. Culik II, K., Karhumäki, J.: Finite automata computing real functions. SIAM Journal on Computing 23(4), 789–814 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  6. Derencourt, D., Karhumäki, J., Latteux, M., Terlutte, A.: On Computational Power of Weighted Finite Automata. In: Havel, I.M., Koubek, V. (eds.) MFCS 1992. LNCS, vol. 629, pp. 236–245. Springer, Heidelberg (1992)

    Google Scholar 

  7. Hopcroft, J.H., Ullman, J.D.: Introduction to automata theory, languages and computation. Addison Wesley, Reading (1979)

    MATH  Google Scholar 

  8. Pavlidis, T.: Algorithms for graphics and image processing. Computer science press (1982)

    Google Scholar 

  9. Tischler, G.: Properties and applications of parametric weighted finite automata submitted

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tischler, G. (2005). Parametric Weighted Finite Automata for Figure Drawing. In: Domaratzki, M., Okhotin, A., Salomaa, K., Yu, S. (eds) Implementation and Application of Automata. CIAA 2004. Lecture Notes in Computer Science, vol 3317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30500-2_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30500-2_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24318-2

  • Online ISBN: 978-3-540-30500-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics