Polynomial Accelerated Iterative Approximation for Higher Order and Rational Bezier Curves

被引:2
|
作者
Liu, Chengzhi [1 ]
Yang, Lian [1 ]
Zhang, Li [2 ]
机构
[1] Hunan Univ Humanities Sci & Technol, Sch Math & Finance, Loudi 417000, Peoples R China
[2] Neijiang Normal Univ, Data Recovery Key Lab Sichuan Prov, Coll Math & Informat Sci, Neijiang 641100, Peoples R China
基金
中国国家自然科学基金;
关键词
Preconditioned progressive progressive approximation; rational Bezier curves; degree reduction; curve approximation; adaptive sampling method; 42A10; MULTI-DEGREE REDUCTION; CONSTRAINTS;
D O I
10.1007/s00025-021-01453-y
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Two accelerated iterative methods for curves approximation are presented in this paper. These presented methods are used to reduce the degree of Bezier curves and approximate rational Bezier curves by polynomials. By employing the preconditioned progressive iterative approximation (PPIA), we approximate the points sampled from target curves, and generate polynomial approximations. The equi-parametric and adaptive sampling methods are introduced. Both of them are well performed in degree reduction of Bezier curves and polynomial approximation of rational Bezier curves. Due to the effectiveness of the preconditioned technique, the accuracy and efficiency of approximation are improved significantly. More importantly, we can obtain the approximation within an user-defined error bound. Numerical examples demonstrate the effectiveness of our methods.
引用
收藏
页数:22
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