| Dierckx P (1982) Algorithms for Smoothing Data with Periodic and Parametric Splines. Computer Graphics and Image Processing 20: 171-184. |
....approximation, which has been extensively studied by the computer graphics community [5] 6] 7] Local spline approximation is attractive in that it gives a smooth analytic representation of the curve. Much work has been done on representing signals or images using cubic spline models [8] 9] 10] 11][12]. The problem we want to solve in this paper is the following. Given a planar curve represented as a sequence of sample points, find a spline with a number of control points to approximate the curve such that the approximation error is minimum. Our approach is to treat the positions of the control ....
P. Dierckx, "Algorithms for Smoothing Data with Periodic and Parametric Splines", Comp. Graphics Image Process. 20, 1982, 171--184.
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Dierckx P (1982) Algorithms for Smoothing Data with Periodic and Parametric Splines. Computer Graphics and Image Processing 20: 171-184.
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