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Mesh-Independent Surface Interpolation

  • Conference paper
Geometric Modeling for Scientific Visualization

Part of the book series: Mathematics and Visualization ((MATHVISUAL))

Summary

Smooth interpolation of unstructured surface data is usually achieved by joining local patches, where each patch is an approximation (usually parametric) defined on a local reference domain. A basic mesh-independent projection strategy for general surface interpolation is proposed here. The projection is based upon the ’Moving-Least-Squares’ (MLS) approach, and the resulting surface is C smooth. The projection involves a first stage of defining a local reference domain and a second stage of constructing an MLS approximation with respect to the reference domain. The approach is presented for the general problem of approximating a (d − 1)-dimensional manifold in ℝd, d ≥ 2. The approach is applicable for interpolating or smoothing curve and surface data, as demonstrated here by some graphical examples.

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References

  1. Alexa, M., Behr, J., Cohen-Or, D., Fleishman, S., Levin, D., Silva, T. (2001): Point set surfaces. IEEE Visualization 2001

    Google Scholar 

  2. Boehm, W., Farin, G., Kahmann, J. (1984): A survey of curve and surface methods in CAGD. Computer Aided Geometric Design, 1, 10–60

    Article  Google Scholar 

  3. Dyn, N. (1987): Interpolation and approximation by radial and related functions. In: Chui, C.K., Schumaker, L.L., Ward, J.D. (eds) Approximation Theory VI. Academic Press, pp. 211–234

    Google Scholar 

  4. Franke, R. (1982): Scattered data interpolation: Tests of some methods. Math. Comp., 38, No. 157, 181–200

    MathSciNet  MATH  Google Scholar 

  5. Hirsch, M.W. (1976): Differential Topology. Springer-Verlag

    Google Scholar 

  6. Lee, I.-Q. Curve reconstruction from unorganized points. Computer Aided Geometric Design, to appear

    Google Scholar 

  7. Levin, D. (1998): The approximation power of moving least-squares. Math. Comp., 67, 1517–1531

    Article  MathSciNet  MATH  Google Scholar 

  8. McLain, D.H. (1976): Two dimensional interpolation from random data. The Computer Journal, 19, 178–181

    Article  MathSciNet  MATH  Google Scholar 

  9. Pauly, M., Gross, M., Kobbelt, L. (2002): Efficient simplification of point-sampled surfaces. IEEE Visualization 2002

    Google Scholar 

  10. Powell, M.J.D. A review of methods for multivariate interpolation at scattered data points. Report DAMTP 1996/NA11, University of Cambridge

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Levin, D. (2004). Mesh-Independent Surface Interpolation. In: Brunnett, G., Hamann, B., Müller, H., Linsen, L. (eds) Geometric Modeling for Scientific Visualization. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-07443-5_3

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  • DOI: https://doi.org/10.1007/978-3-662-07443-5_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-07263-5

  • Online ISBN: 978-3-662-07443-5

  • eBook Packages: Springer Book Archive

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