Abstract
Motivated by an insight that properly selected points, called dominant points, can play an important role in producing better curve approximation, we propose a new approach for B-spline curve fitting to a sequence of points. The approach is substantially different from the conventional ones in knot placement and dominant point selection. It can generate a B-spline curve in good quality with less deviation. Adopted in the error-bounded curve approximation, it can play an important role in generating B-spline curves with much less control points.
This work was supported in part by research funds from Chosun University, 2004.
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© 2006 Springer-Verlag Berlin Heidelberg
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Park, H., Lee, JH. (2006). B-Spline Curve Fitting Using Dominant Points. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2006. ICCS 2006. Lecture Notes in Computer Science, vol 3992. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11758525_48
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DOI: https://doi.org/10.1007/11758525_48
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