Efficient Degree Elevation and Knot Insertion for B-spline Curves using Derivatives

2004 ◽  
Vol 1 (1-4) ◽  
pp. 719-725
Author(s):  
Qi-Xing Huang ◽  
Shi-Min Hu ◽  
Ralph R Martin
2005 ◽  
Vol 22 (2) ◽  
pp. 183-197 ◽  
Author(s):  
Qi-Xing Huang ◽  
Shi-Min Hu ◽  
Ralph R. Martin

2014 ◽  
Vol 556-562 ◽  
pp. 3496-3500 ◽  
Author(s):  
Si Hui Shu ◽  
Zi Zhi Lin

An algorithm of B-spline curve approximate merging of two adjacent B-spline curves is presented in this paper. In this algorithm, the approximation error between two curves is computed using norm which is known as best least square approximation. We develop a method based on weighed and constrained least squares approximation, which adds a weight function in object function to reduce error of merging. The knot insertion algorithm is also developed to meet the error tolerance.


1984 ◽  
Vol 1 (2) ◽  
pp. 193-198 ◽  
Author(s):  
Hartmut Prautzsch

Fractals ◽  
2011 ◽  
Vol 19 (01) ◽  
pp. 67-86 ◽  
Author(s):  
KONSTANTINOS I. TSIANOS ◽  
RON GOLDMAN

We extend some well known algorithms for planar Bezier and B-spline curves, including the de Casteljau subdivision algorithm for Bezier curves and several standard knot insertion procedures (Boehm's algorithm, the Oslo algorithm, and Schaefer's algorithm) for B-splines, from the real numbers to the complex domain. We then show how to apply these polynomial and piecewise polynomial algorithms in a complex variable to generate many well known fractal shapes such as the Sierpinski gasket, the Koch curve, and the C-curve. Thus these fractals also have Bezier and B-spline representations, albeit in the complex domain. These representations allow us to change the shape of a fractal in a natural manner by adjusting their complex Bezier and B-spline control points. We also construct natural parameterizations for these fractal shapes from their Bezier and B-spline representations.


1992 ◽  
Vol 9 (3) ◽  
pp. 175-183 ◽  
Author(s):  
Phillip J. Barry ◽  
Rui-Feng Zhu

1994 ◽  
Vol 63 (208) ◽  
pp. 821
Author(s):  
Richard H. Bartels ◽  
Ronald N. Goldman ◽  
Tom Lyche

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