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Moment-based invariant fitting of elliptical segments

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 970))

Abstract

In this paper, we introduce a new approach to the fitting problem for elliptical segments. In a way other than generally described in literature, we don't fit elliptical curve segments but elliptical area segments. Because of the numerical stability of area-based moments, this fitting is generally better than the results obtained by the common used algebraic fitting methods. Further advantages of the moment-based method are the affine invariance of the results, smaller variance and bias, and the possibility to investigate exactly the theoretical model. The goodness of the new fitting method is demonstrated by some numerical experiments.

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References

  1. Bookstein F.L.: Fitting conic sections to scattered data. CVGIP 9 (1979) 59–71

    Google Scholar 

  2. Forsyth D.,Mundy J.L.,Zissermann A.,Coelho C.,Heller C.,Heller A.,Rothwell C.: Invariant descriptors for 3D object recognition and pose. PAMI 13 (1991) 971–991

    Google Scholar 

  3. Joseph S.H.: Unbiased least squares fitting of circular arcs. CVGIP 56 (1994) 424

    Google Scholar 

  4. Kanatani K.: Statistical analysis of geometric computation. CVGIP 59 (1994) 286–306

    Google Scholar 

  5. Kanatani K.: Statistical bias of conic fitting and renormalization. PAM 16 (1994)

    Google Scholar 

  6. Porill J.: Fitting ellipses and predicting confidence envelopes using a bias corrected Kaiman filter. CVGIP 8 (1990) 37–41

    Google Scholar 

  7. Roth G.: Extracting geometric primitives. CVGIP 58 (1993) 1–22

    Google Scholar 

  8. Sampson P.D.: Fitting conic sections to very scattered data. CVGIP 18 (1982) 97–108

    Google Scholar 

  9. Saffee R., Smith K.C., Benhabib B., Tchoukanov I.:Application of moment and Fourier descriptors to the accurate estimation of elliptical shape parameters. PAMI 4 (1992) 2465–2468

    Google Scholar 

  10. Tsuji S., Matsumoto F.: Detection of ellipses by a modified Hough Transformation. C 27 (1978) 777–781

    Google Scholar 

  11. Voss K., Süße H.: Adaptive Modelle und Invarianten für zweidimensionale Bilder. Shaker Verlag, Aachen 1995

    Google Scholar 

  12. Yuen H.K., Illingworth J., Kittler J.: Detecting partially occluded ellipses using Hough Transform. CVGIP 7 (1989) 31–37

    Google Scholar 

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Václav Hlaváč Radim Šára

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© 1995 Springer-Verlag Berlin Heidelberg

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Voss, K., Suesse, H., Neubauer, R. (1995). Moment-based invariant fitting of elliptical segments. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_345

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  • DOI: https://doi.org/10.1007/3-540-60268-2_345

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60268-2

  • Online ISBN: 978-3-540-44781-8

  • eBook Packages: Springer Book Archive

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