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An Approach to Computing Multipoint Inversion and Multiray Surface Intersection on Parametric Surface

机译:用于计算参数表面的多点反转和多倍表面交叉的方法

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摘要

This article presents a method for multipoint inversion and multiray surface intersection problem on the parametric surface. By combining tracing along the surface and classical Newton iteration, it can solve point inversion and ray-surface intersection issues concerning a large number of points or rays in a stable and high-speed way. What is more, the computation result can approximate to exact solutions with arbitrary precision because of the self-correction of Newton-Raphson iteration. The main ideas are adopting a scheme tracing along the surface to obtain a good initial point, which is close to the desired point with any prescribed precision, and conducting Newton iteration process with the point as a start point to compute desired parameters. The new method enhances greatly iterative convergence rate compared with traditional Newton's iteration related methods. In addition, it has a better performance than traditional methods, especially in dealing with multipoint inversion and multiray surface intersection problems. The result shows that the new method is superior to them in both speed and stability and can be widely applied to industrial and research field related to CAD and CG.
机译:本文介绍了参数表面上的多点反转和多倍表面交叉问题的方法。通过沿着表面和古典牛顿迭代结合追踪,它可以以稳定和高速的方式求解大量点或光线的点反转和射线表面交汇处。更重要的是,由于Newton-Raphson迭代的自我纠正,计算结果可以近似于具有任意精度的精确解决方案。主要思想正在采用沿着表面追踪的方案追踪,以获得良好的初始点,其与任何规定的精度接近所需的点,并用点作为开始点进行牛顿迭代过程以计算期望的参数。与传统的牛顿迭代相关方法相比,新方法提高了极大的迭代收敛速度。此外,它具有比传统方法更好的性能,尤其是在处理多点反转和多倍表面交叉问题时。结果表明,新方法以速度和稳定性优于它们,可广泛应用于与CAD和CG相关的工业和研究领域。

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  • 来源
    《Mathematical Problems in Engineering 》 |2019年第13期| 3790762.1-3790762.12| 共12页
  • 作者单位

    Nanjing Univ Aeronaut & Astronaut Coll Mech & Elect Engn Nanjing 210000 Jiangsu Peoples R China;

    Nanjing Univ Aeronaut & Astronaut Coll Mech & Elect Engn Nanjing 210000 Jiangsu Peoples R China;

    Nanjing Univ Aeronaut & Astronaut Coll Mech & Elect Engn Nanjing 210000 Jiangsu Peoples R China;

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