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Surface Reconstruction and Lagrange Basis Polynomials

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4818))

Abstract

Surface reconstruction, based on line integrals along segments of the unit disk is studied. Various methods concerning with this problem are known. We consider here interpolation over regular schemes of chords by polynomials. We find the interpolant in Lagrange form and investigate some properties of Lagrange basis polynomials. Numerical experiments for both surface and image reconstruction are presented.

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References

  1. Bojanov, B., Georgieva, I.: Interpolation by bivariate polynomials based on Radon projections. Studia Math. 162, 141–160 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  2. Bojanov, B., Petrova, G.: Numerical integration over a disc. A new Gaussian cubature formula. Numer. Math. 80, 39–59 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  3. Bojanov, B., Petrova, G.: Uniqueness of the Gaussian cubature for a ball. J. Approx. Theory 104, 21–44 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  4. Bojanov, B., Xu, Y.: Reconstruction of a bivariate polynomials from its Radon projections. SIAM J. Math. Anal. 37, 238–250 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  5. Davison, M.E., Grunbaum, F.A.: Tomographic reconstruction with arbitrary directions. Comm. Pure Appl. Math. 34, 77–120 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  6. Georgieva, I., Ismail, S.: On recovering of a bivariate polynomial from its Radon projections. In: Constructive Theory of Functions, pp. 127–134. Marin Drinov Academic Publishing House, Sofia (2006)

    Google Scholar 

  7. Georgieva, I., Uluchev, R.: Smoothing of Radon projections type of data by bivariate polynomials. In: J. Comput. Appl. Math. (to appear)

    Google Scholar 

  8. Hakopian, H.: Multivariate divided differences and multivariate interpolation of Lagrange and Hermite type. J. Approx. Theory 34, 286–305 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  9. John, F.: Abhängigkeiten zwischen den Flächenintegralen einer stetigen Funktion. Math. Anal. 111, 541–559 (1935)

    Article  MATH  Google Scholar 

  10. Marr, R.: On the reconstruction of a function on a circular domain from a sampling of its line integrals. J. Math. Anal. Appl. 45, 357–374 (1974)

    Article  MathSciNet  MATH  Google Scholar 

  11. Natterer, F.: The Mathematics of Computerized Tomography. Classics in Applied Mathematics 32 (2001)

    Google Scholar 

  12. Pickalov, V., Melnikova, T.: Plasma Tomography, Nauka, Novosibirsk (1995) (in Russian)

    Google Scholar 

  13. Radon, J.: Über die Bestimmung von Funktionen durch ihre Integralwerte längs gewisser Mannigfaltigkeiten. Ber. Verch. Sächs. Akad. 69, 262–277 (1917)

    MATH  Google Scholar 

  14. Solmon, D.C.: The X-ray transform. J. Math. Anal. Appl. 56(1), 61–83 (1976)

    Article  MathSciNet  MATH  Google Scholar 

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© 2008 Springer-Verlag Berlin Heidelberg

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Georgieva, I., Uluchev, R. (2008). Surface Reconstruction and Lagrange Basis Polynomials. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2007. Lecture Notes in Computer Science, vol 4818. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78827-0_77

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  • DOI: https://doi.org/10.1007/978-3-540-78827-0_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78825-6

  • Online ISBN: 978-3-540-78827-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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