2007
DOI: 10.1016/j.cagd.2007.03.002
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On geometric interpolation of circle-like curves

Abstract: In this paper, geometric interpolation of certain circle-like curves by parametric polynomial curves is studied. It is shown that such an interpolating curve of degree n achieves the optimal approximation order 2 n, the fact already known for particular small values of n. Furthermore, numerical experiments suggest that the error decreases exponentially with growing n.

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Cited by 19 publications
(11 citation statements)
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“…We would like to remark that a great deal of research has been done on the approximation of circular arcs and whole circles (see, e.g., [18] and the references therein). Since in our case the vesicle contour is known to have circular shape, special polynomial or spline approximations are not needed.…”
Section: Determining Vesicle Radius From a Videomicrographmentioning
confidence: 99%
“…We would like to remark that a great deal of research has been done on the approximation of circular arcs and whole circles (see, e.g., [18] and the references therein). Since in our case the vesicle contour is known to have circular shape, special polynomial or spline approximations are not needed.…”
Section: Determining Vesicle Radius From a Videomicrographmentioning
confidence: 99%
“…More general results concerning the Lagrange interpolation of 2 n points on a circle-like curve by a parametric polynomial curve of degree n and the same approximation error, i.e., 2 n, are in [2].…”
Section: Discussionmentioning
confidence: 99%
“…Note that (2.1) is a particular case of (2.3) where c = 0. The following theorem, which has already been considered in [2] in a different context, gives one of the solutions of the nonlinear system (1.8) for any n in a closed form.…”
Section: Solution Of the Problemmentioning
confidence: 96%
“…In high order parametric polynomial approximation of circular arcs ( [4], for example), the coefficients of the optimal solution involve the number of restricted partitions of a natural number. Namely, the coefficients of the parametric polynomial approximant p(t) = (x(t), y(t)) T , where …”
Section: Examplesmentioning
confidence: 99%