My Research Paper (2009) - Abstract

The Implementation of Continuity Univariate Bivariate B-Spline Method


There are several methods for approximating an unknown value within particular interval, one of them is through the interpolation method
In this research, the interpolation method applied to find a new points value within B-Spline curve and surface production which from several control points
In the curve production, interpolation used together with Basis Bernstein Polynomial algorithm to find some basis value which have 1 parameter (u), and made polynomial function y=f(u) in three degrees. This function then will be used to finding new points around 4 control points which had input before it.
In the surface production, interpolation used together with Cox de Boor algorithm to find basis value which have 2 parameter (u, v), and knot vector between 0 and 1, and then will be produced polynomial function y=f(u, v) in three degrees. This function then will be used to get knot points among shaped segment and 16 control points which had input before it.
Overall from the implementation of B-Spline curve and surface, the interpolation method quite successfully to produce new points. That was because the curvature of B-Spline curve and surface which have shaped very smooth.

Keyword : Bernstein Polynomial, Cox de Boor, B-Spline. Knot Vector

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