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Iberoamerican Congress on Pattern Recognition

CIARP 2005: Progress in Pattern Recognition, Image Analysis and Applications pp 42–50Cite as

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Smoothing of Polygonal Chains for 2D Shape Representation Using a G 2-Continuous Cubic A-Spline

Smoothing of Polygonal Chains for 2D Shape Representation Using a G 2-Continuous Cubic A-Spline

  • Sofía Behar18,
  • Jorge Estrada19,
  • Victoria Hernández19 &
  • …
  • Dionne León19 
  • Conference paper
  • 1097 Accesses

Part of the Lecture Notes in Computer Science book series (LNIP,volume 3773)

Abstract

We have developed a G 2-continuous cubic A-spline, suitable for smoothing polygonal chains used in 2D shape representation. The proposed A-spline scheme interpolates an ordered set of data points in the plane, as well as the direction and sense of tangent vectors associated to these points. We explicitly characterize curve families which are used to construct the A-spline sections, whose members have the required interpolating properties and possess a minimal number of inflection points. The A-spline considered here has many attractive features: it is very easy to construct, it provides us with convenient geometric control handles to locally modify the shape of the curve and the error of approximation is controllable. Furthermore, it can be rapidly displayed, even though its sections are implicitly defined algebraic curves.

Mathematics Subject Classification: 65D07(splines), 65D05 (interpolation), 65D17 (Computer Aided Design).

Keywords

  • Algebraic cubic splines
  • polygonal chain
  • data interpolation and fitting
  • 2D shape representation

The results presented in this work were obtained with the support of a FONCI/2003 grant.

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References

  1. Bajaj, C., Xu, G.: A-Splines Local Interpolation and Approximation using G k-Continuous Piecewise Real Algebraic Curves. Computer Aided Geometric Desing 16, 557–578 (1999)

    CrossRef  MATH  MathSciNet  Google Scholar 

  2. Bajaj, C., Xu, G.: Regular algebraic curve sections (III) - Applications in interactive design and data fitting. Computer Aided Geometric Desing 18, 149–173 (2001)

    CrossRef  MATH  MathSciNet  Google Scholar 

  3. Behar, S., Hernández, V., Alvarez, L., Estrada, J.: Computing a revolution shell using a G 2-continuous A-spline and a semidiscrete method for the EDPs. In: Proceedings IV, ITLA, pp. 241–250 (2001) ISBN: 959-7056-13-5

    Google Scholar 

  4. Estrada, J., Martínez, D., León, D., Theisel, H.: Solving Geometric Problems using Subdivision Methods and Range Analysis. In: Daehlen, M., Morken, K., Shumaker, L.L. (eds.) Mathematical Methods for Curves and Surfaces: Tromso 2004, pp. 101–114. Nashboro Press, Brentwood (2004)

    Google Scholar 

  5. Hernández, V., Martínez, D., Estrada, J.: Fitting a conic A-spline to contour image data. Revista Investigación Operacional 29, 55–64 (2002)

    Google Scholar 

  6. Hernández, V., Behar, S., Estrada, J.: Geometric design by means of a G 2 continuous A-spline, Approximation. Optimization and Mathematical Economics, pp. 133–145. Physica, Heidelberg (2001)

    Google Scholar 

  7. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: active contour models. International. J. Comput. Vision, 321–331 (1988)

    Google Scholar 

  8. Paluszny, M., Patterson, R.: G 2-continuous cubic algebraic splines and their efficient display. In: Laurent, P.J., Le Méhauté, A., Schumacker, L.L. (eds.) Curves and Surfaces II, pp. 353–359 (1994)

    Google Scholar 

  9. Paluszny, M., Patterson, R.: Geometric control of G 2-cubic A-splines. Computer Aided Geometric Design 15, 261–287 (1998)

    CrossRef  MATH  MathSciNet  Google Scholar 

  10. Ray, B., Ray, K.: A non-parametric sequential method for polygonal approximation of digital curves. Pattern Recognition Letters 15, 161–167 (1994)

    CrossRef  MATH  Google Scholar 

  11. Sethian, J.A.: Level Set Methods. Cambridge Univ. Press, Cambridge (1996)

    MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Mathematics and Computer Sciences, Havana University, Cuba

    Sofía Behar

  2. Institute of Mathematics and Theoretical Physics, CITMA, Cuba

    Jorge Estrada, Victoria Hernández & Dionne León

Authors
  1. Sofía Behar
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  2. Jorge Estrada
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  3. Victoria Hernández
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  4. Dionne León
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Editor information

Editors and Affiliations

  1. Dept. System Engineering and Automation, Universitat Politècnica de Catalunya (UPC) Barcelona, Spain

    Alberto Sanfeliu

  2. Pattern Recognition Group, ICIMAF, Havana, Cuba

    Manuel Lazo Cortés

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© 2005 Springer-Verlag Berlin Heidelberg

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Behar, S., Estrada, J., Hernández, V., León, D. (2005). Smoothing of Polygonal Chains for 2D Shape Representation Using a G 2-Continuous Cubic A-Spline. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_5

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  • DOI: https://doi.org/10.1007/11578079_5

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  • Online ISBN: 978-3-540-32242-9

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