Applied Computational Intelligence and Soft Computing (Jan 2023)

Geometric Degree Reduction of Wang–Ball Curves

  • Yusuf Fatihu Hamza,
  • Mukhtar Fatihu Hamza,
  • Abedallah Rababah,
  • Salisu Ibrahim

DOI
https://doi.org/10.1155/2023/5483111
Journal volume & issue
Vol. 2023

Abstract

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There are substantial methods of degree reduction in the literature. Existing methods share some common limitations, such as lack of geometric continuity, complex computations, and one-degree reduction at a time. In this paper, an approximate geometric multidegree reduction algorithm of Wang–Ball curves is proposed. G0-, G1-, and G2-continuity conditions are applied in the degree reduction process to preserve the boundary control points. The general equation for high-order (G2 and above) multidegree reduction algorithms is nonlinear, and the solutions of these nonlinear systems are quite expensive. In this paper, C1-continuity conditions are imposed besides the G2-continuity conditions. While some existing methods only achieve the multidegree reduction by repeating the one-degree reduction method recursively, our proposed method achieves multidegree reduction at once. The distance between the original curve and the degree-reduced curve is measured with the L2-norm. Numerical example and figures are presented to state the adequacy of the algorithm. The proposed method not only outperforms the existing method of degree reduction of Wang–Ball curves but also guarantees geometric continuity conditions at the boundary points, which is very important in CAD and geometric modeling.