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发布时间: 2020-07-16 |
计算机图形学 |
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收稿日期: 2019-11-04; 修回日期: 2019-12-27; 预印本日期: 2020-01-03
基金项目: 浙江省自然科学基金项目(LY18F020023,LQ19F020003,LY19F020011)
第一作者简介:
方林聪, 1982年生, 男, 副教授, 硕士生导师, 主要研究方向为计算机辅助设计与图形学、几何设计与计算。E-mail:lincongfang@gmail.com;
阳诚砖, 男, 讲师, 主要研究方向为计算机视觉、模式识别、人工智能。E-mail:chengzhuanyang@zufe.edu.cn; 邸文钰, 女, 本科生, 主要研究方向为数据可视化、数据挖掘与可视分析。E-mail:1753566@tongji.edu.cn; 刘芳, 女, 讲师, 主要研究方向为数据可视化、数据挖掘与可视分析。E-mail:maggie_liufang@126.com.
中图法分类号: TP391.41
文献标识码: A
文章编号: 1006-8961(2020)07-1473-08
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摘要
目的 PH(Pythagorean hodograph)曲线由于具备有理等距曲线、弧长可精确计算等优良的几何性质,广泛应用于数控加工和路径规划等方面。曲线插值是曲线构造的主要手段之一,虽然对PH曲线的Hermite插值方法进行了广泛研究,但插值给定数据点的构造方法仍有待突破,为推广四次PH曲线的应用范围,提出了一种新的四次PH曲线的3点插值问题解决方法。方法 从四次PH曲线的代数充分必要条件出发,在该曲线的Bézier控制多边形中引入辅助控制顶点,指出其中实参数的几何意义,该实参数可作为形状调节因子对构造曲线进行交互。对给定的3个平面型值点进行参数化确定相应的参数值;通过对四次PH曲线一阶导数积分得到曲线的显式表达,其中包含一个待定复常量,将给定的约束点代入曲线的显式表达式得到关于待定复常量的一元二次复方程,求解该复方程并反求Bézier控制顶点得到符合约束条件的四次PH曲线。结果 实验对通过构造插值给定数据点的四次PH曲线进行比较,当形状调节因此改变时,曲线形状可进行有效交互。每次交互得到两条四次PH曲线,通过弧长、弯曲能量、绝对旋转数的计算得到最优曲线,并构造得到PH曲线的等距线。结论 本文方法给定的形状调节参数具有明确的代数意义和几何意义,本文方法易于实现,可有效进行交互。
关键词
计算机辅助设计; Bézier曲线; 控制多边形; 等距曲线; 四次PH曲线; 插值
Abstract
Objective The problem of interpolating three distinct planar points using quartic Pythagorean hodograph (PH) curves is studied. PH curves comprise an important class of polynomial curves that form a mathematical foundation of most current computer-aided design (CAD) tools. By incorporating special algebraic structures into their hodograph curves, PH curves exhibit many advanced properties over ordinary polynomial parametric curves. These properties include polynomial arc-length functions and rational offset curves. Thus, PH curves are considered a sophisticated solution for a variety of difficult issues arising in applications (e.g., tool paths) in the fields of computer numerically controlled machining and real-time motion control. For example, the arc-length of a PH curve can be computed without numerical integration, accelerating algorithms for numerically controlled machining. The offsets of a PH curve can also be represented exactly rather than being approximated in CAD systems. Thus, analyzing and manipulating PH curves are of considerable practical value in CAD and other applications. PH curves can be represented as widely used Bézier curves. The most intuitive and efficient method for constructing PH curves is by adjusting the control points of Bézier curves under conditions that guarantee PH properties. Therefore, a variety of methods for identifying PH curves are developed. Another important application of PH curves is the geometric construction of these curves. Considerable work has been conducted on Hermite interpolation with different degrees of PH curves. However, methods for interpolating three or more planar points have been rarely studied. Method The necessary and sufficient condition for a planar curve to be a PH curve is a form of a product of complex polynomials, and a Bézier curve and its first derivative are Bernstein polynomials, which are a form of the sum of Bernstein basis functions. We derive a system of complex nonlinear equations by considering the compatibility of the two forms. The geometric meanings of the coefficients are then introduced by presenting several auxiliary points for their Bézier control polygons. To construct a quartic PH curve that interpolates any given three planar points, the first and last points are used as the two endpoints of a Bézier curve. The second point is parameterized by computing the chord lengths by connecting three given points. A complex unknown should be solved considering the integration of the first derivative. The compatibility of complex systems provides a quadratic complex equation with a real coefficient. Thus, in accordance with the fundamental theorem of algebra, two quartic PH curves satisfy any given conditions. A user may interactively construct a series of quartic PH curves by specifying a real coefficient. Result The method is implemented using MATLAB. A maximum of two families of quartic PH curves can be constructed for any given three points. Moreover, arc-lengths, bending energy, and absolute rotation numbers can be computed to select the best solution. Curves with low energy and/or an absolute rotation number can be generally regarded as the best solution because curves with a large bending energy and/or absolute rotation numbers are typically self-intersected. Examples show that the shape can be interactively adjusted by changing a real coefficient, determining the parameter value of the cusp. Lastly, the offsets of the constructed quartic PH curves are shown. Conclusion The proposed method can efficiently construct quartic PH curves for any given three planar points. Only a quadratic complex equation is required to be solved. Thus, the method is robust and efficient. Future studies may consider other applications of the proposed method, e.g., data interpolation using quartic PH splines.
Key words
computer aided design (CAD); Bézier curve; control polygon; offset curve; quartic PH curve; interpolation
0 引言
等距曲线在路桥设计、加工路径规划、数控机器设计等计算机辅助设计(computer aided design,CAD)中有着广泛应用。CAD系统中主要的造型工具是多项式曲线曲面,具有Bézier控制多边形功能,给设计交互造型带来了极大便利。此外,Bézier控制多边形具有凸包性、几何不变性、变差缩减等优良的几何性质,进一步为多项式曲线曲面的几何计算提供了高效算法。
然而,多项式曲线的单位法向量在计算时包含求根运算,导致等距曲线通常不具有有理形式,为此研究者提出了许多等距线的逼近算法。当参数曲线的一阶导数的欧氏范数为一个实多项式(满足Pythagorean条件)时,该曲线的等距线自然可以表示为有理多项式形式,这类曲线称为PH(Pythagorean hodograph)曲线(Farouki和Sakkalis,1990)。由于这种特殊性质,使得PH曲线的弧长、曲率等几何量可被精确计算,而无须使用数值积分运算。同时由于PH曲线及其等距曲线能够很好地与现有CAD系统兼容,等距曲线在CAD系统中也可精确表示。这些性质不仅提升了许多几何计算中的算法效率(Farouki和Neff,1995),而且为各种实际应用提供了良好的解决方案,特别是传统数控加工中的切、削、磨的刀具路径规划等。
PH曲线是特殊的多项式参数曲线,给定一个多项式曲线及其Bézier控制多边形,能否有效判断该曲线为PH曲线,在逆向工程中具有重要作用(Farouki等,2015)。研究者对PH曲线的判别方法进行了深入研究。早在PH曲线提出时,Farouki和Sakkalis(1990)就给出了三次PH曲线的几何判别方法,指出若三次PH曲线的控制多边形满足两内角相等,且第2条边是首末两边的等比中项,则该曲线为三次PH曲线。Wang和Fang(2009)采用平面曲线的复数表示方法,给出了四次PH曲线的几何判别方法,继而推广到五次、六次、七次PH曲线的几何特征研究(Fang和Wang,2018;Farouki,2008;Zheng等,2016)。此外,Farouki等人(2015)从代数学的角度提出了一种PH曲线的代数判别方法,并给出了在数控实际应用中的可靠计算精度范围。
另一方面,PH曲线的构造方法也在不断改进,为使用者对PH曲线进行交互设计提供了有效工具,困扰PH曲线的Hermite插值问题也有了许多解决办法。Farouki和Neff(1995)针对五次PH曲线的
数据插值在几何造型中的应用非常广泛,设计者希望通过给定的型值点构造相应的几何模型。本文以PH曲线的代数充要条件为基础,提出了四次PH曲线的插值构造方法,并讨论了均匀参数化、弦长参数化、弧长参数化方法在插值效果上的差异。通过比较曲线的弧长、弯曲能量、绝对旋转数等几何量来选择最优曲线。
1 四次PH曲线
定理1 一条平面参数曲线是PH曲线当且仅当其一阶导数有如下形式的因式分解
$ {P^\prime }(t) = w(t){[u(t) + {\rm{i}}v(t)]^2} $ |
式中,
若四次平面参数曲线
$ {P^\prime }(t) = [a(1 - t) + t]{[{z_0}(1 - t) + {z_1}t]^2} $ | (1) |
式中,
令
$ {P^\prime }(t) = 3\sum\limits_{i = 0}^2 {B_i^2} (t)\Delta {P_i} $ | (2) |
式中,Δ
$ \left\{ \begin{array}{l} 4\Delta {P_0} = az_0^2\\ 12\Delta {P_1} = z_0^2 + 2a{z_0}{z_1}\\ 12\Delta {P_2} = az_1^2 + 2{z_0}{z_1}\\ 4\Delta {P_3} = z_1^2 \end{array} \right. $ | (3) |
不妨令
$ \left\{ \begin{array}{l} {Q_0} = {P_1} + \frac{{z_0^2}}{{12}}\\ {Q_1} = {P_3} + \frac{{z_1^2}}{{12}} \end{array} \right. $ |
于是有
$ {a = \frac{{\Delta {P_0}}}{{3({Q_0} - {P_1})}} = \frac{{{P_2} - {Q_0}}}{{{Q_1} - {P_2}}} = \frac{{3({P_3} - {Q_1})}}{{\Delta {P_3}}}} $ |
$ {{\rm{arg}}\frac{{{P_2} - {Q_0}}}{{\Delta {P_0}}} = {\rm{arg}}\frac{{\Delta {P_3}}}{{{Q_1} - {P_2}}} = {\rm{arg}}\frac{{{z_1}}}{{{z_0}}}} $ |
即直线
给定一条平面参数曲线,令
$ {S = \int {\rm{d}} s = \int_0^1 {\sqrt {{x^{\prime 2}}(t) + {y^{\prime 2}}(t)} } {\rm{d}}t} $ |
$ {E = \int {{k^2}} {\rm{d}}s = \int_0^1 {{k^2}} \left\| {{P^\prime }(t)} \right\|{\rm{d}}t} $ |
$ {{R_{{\rm{abs}}}} = \frac{1}{{2\pi }}\int | k|{\rm{d}}s = \frac{1}{{2\pi }}\int_0^1 | k|{\kern 1pt} {\kern 1pt} {\kern 1pt} \left\| {{P^\prime }(t)} \right\|{\rm{d}}t} $ |
2 三点插值
考虑给定平面上3个型值点
$ {t_1} = \frac{{\left\| {{{\tilde P}_1} - {{\tilde P}_0}} \right\|}}{{\left\| {{{\tilde P}_1} - {{\tilde P}_0}} \right\| + \left\| {{{\tilde P}_2} - {{\tilde P}_1}} \right\|}} $ | (4) |
由于
$ \begin{array}{l} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} P(t) = \int {{P^\prime }} (t){\rm{d}}t = \\ \int {[a(1 - t) + t]{{[{z_0}(1 - t) + {z_1}t]}^2}{\rm{d}}t = } \\ {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\rho _0}(t)z_0^2 + {\rho _1}(t){z_0}{z_1} + {\rho _2}(t)z_1^2 + Z \end{array} $ |
式中,
$ \begin{array}{l} {\rho _0}(t) = - \frac{a}{4}{(1 - t)^4} + \frac{1}{2}{(1 - t)^2}{t^2} + \frac{1}{3}{t^3} - \frac{1}{4}{t^4}\\ {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} \begin{array}{*{20}{l}} {{\rho _1}(t) = a{{(1 - t)}^2}{t^2} + \frac{2}{3}(1 - t){t^3} - }\\ {{\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} \frac{1}{2}a{t^4} + \frac{1}{6}{t^4} + \frac{2}{3}a{t^3}}\\ {{\rho _2}(t) = \frac{1}{3}a(1 - t){t^3} + \frac{1}{4}{t^4} + \frac{1}{{12}}a{t^4}} \end{array} \end{array} $ | (5) |
记
$ \left\{ {\begin{array}{*{20}{l}} { - \frac{a}{4}z_0^2 + Z = {{\tilde P}_0}}\\ {{f_0}z_0^2 + {f_1}{z_0}{z_1} + {f_2}z_1^2 + Z = {{\tilde P}_1}}\\ {\frac{1}{{12}}z_0^2 + \frac{{1 + a}}{6}{z_0}{z_1} + \frac{{3 + a}}{{12}}z_1^2 + Z = {{\tilde P}_2}} \end{array}} \right. $ |
在该方程组中,将
$ \left\{ {\begin{array}{*{20}{l}} {z_0^2 = \frac{4}{a}(Z - {{\tilde P}_0})}\\ {{z_0}{z_1} = \frac{{{f_2}({g_4} - {g_3}Z) - {g_1}({g_5} - {g_2}Z)}}{{{f_2}{g_0} - {f_1}{g_1}}}}\\ {z_1^2 = \frac{{{g_0}({g_5} - {g_2}Z) - {f_1}({g_4} - {g_3}Z)}}{{{f_2}{g_0} - {f_1}{g_1}}}} \end{array}} \right. $ | (6) |
式中,
$ \left\{ {\begin{array}{*{20}{l}} {{g_0} = \frac{{1 + a}}{6};{g_1} = \frac{{3 + a}}{{12}};}\\ {{g_2} = \frac{{4{f_0}}}{a};{g_3} = \frac{1}{{3a}};}\\ {{g_4} = {{\tilde P}_2} + \frac{1}{{3a}}{{\tilde P}_0};{g_5} = {{\tilde P}_1} + \frac{{4{f_0}}}{a}{{\tilde P}_0}} \end{array}} \right. $ | (7) |
进一步考虑
$ A{Z^2} + BZ + C = 0 $ | (8) |
式中,
$ \left\{ {\begin{array}{*{20}{l}} {A = {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {{({g_1}{g_2} - {f_2}{g_3})}^2} - }\\ {{\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} \frac{4}{a}({f_2}{g_0} - {f_1}{g_1})({f_1}{g_3} - {g_0}{g_2})}\\ {B = {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} 2({g_1}{g_2} - {f_2}{g_3})({f_2}{g_4} - {g_1}{g_5}) - }\\ {{\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} \frac{4}{a}({f_2}{g_0} - {f_1}{g_1})[{g_0}{g_5} - {f_1}{g_4} + }\\ {{\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} ({f_1}{g_3} - {g_0}{g_2}){{\tilde P}_0}]}\\ {C = {\kern 1pt} {\kern 1pt} {\kern 1pt} {{({f_2}{g_4} - {g_1}{g_5})}^2} + }\\ {{\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} \frac{4}{a}({f_2}{g_0} - {f_1}{g_1})({g_0}{g_5} - {f_1}{g_4}){{\tilde P}_0}} \end{array}} \right. $ | (9) |
由代数基本定理知,当给定实数
输入:复数表示的3个型值点
输出:复数表示的控制顶点
1) 根据式(4)计算
2) 根据式(5)计算
3) 根据式(7)计算
4) 将
5) 求解方程式(8)得到
6) 通过式(6)计算得到
7) 已知
3 数值实例
图 2—图 4是应用本文算法构造的两个四次PH曲线实例。在图 2的实例中,给定型值点
a | 图 2(a) | 图 2(b) | |||||
弧长 | 弯曲能量 | 旋转数 | 弧长 | 弯曲能量 | 旋转数 | ||
1 | 7.617 7 | 0.630 5 | 0.342 8 | 7.617 7 | 57.839 6 | 0.874 0 | |
2 | 7.683 2 | 0.654 2 | 0.350 8 | 7.683 2 | 53.881 9 | 0.873 0 | |
3 | 7.746 9 | 0.692 4 | 0.360 6 | 7.746 9 | 50.319 1 | 0.872 5 | |
4 | 7.801 1 | 0.729 2 | 0.369 2 | 7.801 1 | 47.660 8 | 0.872 2 | |
5 | 7.846 6 | 0.762 0 | 0.376 3 | 7.846 6 | 45.663 5 | 0.872 0 | |
6 | 7.884 9 | 0.790 7 | 0.382 3 | 7.884 9 | 44.122 0 | 0.871 8 | |
7 | 7.917 6 | 0.815 6 | 0.387 3 | 7.917 6 | 42.900 4 | 0.871 6 | |
8 | 7.945 8 | 0.837 4 | 0.391 5 | 7.945 8 | 41.909 8 | 0.871 5 | |
9 | 7.970 2 | 0.856 5 | 0.395 2 | 7.970 2 | 41.091 1 | 0.871 4 | |
10 | 7.991 7 | 0.873 4 | 0.398 3 | 7.991 7 | 40.403 2 | 0.871 2 |
在图 4的实例中,给定型值点
a | 图 4(a) | 图 4(b) | |||||
弧长 | 弯曲能量 | 旋转数 | 弧长 | 弯曲能量 | 旋转数 | ||
1 | 23.888 3 | 0.819 9 | 0.591 9 | 23.888 3 | 2.348 1 | 0.732 5 | |
2 | 24.111 9 | 0.812 9 | 0.595 5 | 24.111 9 | 2.289 5 | 0.734 0 | |
3 | 24.397 9 | 0.805 9 | 0.600 4 | 24.397 9 | 2.221 4 | 0.736 2 | |
4 | 24.647 9 | 0.800 9 | 0.604 5 | 24.647 9 | 2.168 4 | 0.738 0 | |
5 | 24.857 1 | 0.797 3 | 0.607 8 | 24.857 1 | 2.127 9 | 0.739 4 | |
6 | 25.031 9 | 0.794 6 | 0.610 5 | 25.031 9 | 2.096 5 | 0.740 6 | |
7 | 25.179 3 | 0.792 6 | 0.612 7 | 25.179 3 | 2.071 5 | 0.741 6 | |
8 | 25.304 8 | 0.791 1 | 0.614 6 | 25.304 8 | 2.051 2 | 0.742 4 | |
9 | 25.412 7 | 0.789 9 | 0.616 1 | 25.412 7 | 2.034 5 | 0.743 0 | |
10 | 25.506 5 | 0.788 9 | 0.617 5 | 25.506 5 | 2.020 4 | 0.743 6 |
4 结论
本文指出给定平面3个型值点的条件下,依次插值这3个点的四次PH曲线的构造问题可转化为一个带有实参数的一元二次复方程的求解问题。因此,由代数基本定理可知,当实参数给定时,存在不超过两条四次PH曲线满足插值条件。本文通过对四次PH曲线代数充分必要条件的深入分析,给出了一元二次复方程的具体形式,进一步提出了详细的曲线构造算法。
实验结果表明,本文方法可有效构造四次PH曲线,且实参数可作为形状调节因子对曲线进行交互构造。通过对弧长、弯曲能量、绝对旋转数的计算,从两个可行解中可有效排除自交曲线。因此,本文的方法易于实现,应用灵活。
然而,由于本文方法未考虑端点的切向及高阶导数的约束条件,因此无法直接用于构造四次PH样条曲线。本文工作继续推广,可对任意给定的曲线使用四次PH曲线进行插值逼近,今后也可进一步讨论PH样条构造的可能性。
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