多项式函数的实时水波模拟算法
发布时间：2018-12-17 05:47
【摘要】：本文通过分析三角函数的泰勒展开式,提出了一种利用多项式函数优化三角函数的计算方法,用于改善虚拟系统中水波模拟的实时性。本算法中,通过引入多种控制波形的参数,实现了水波波形的多样性。在此基础上,还提出了一种计算表面法向量的方法,以便更好地与周围环境及光线进行交互。选用自然水波图像作为参考,并与当前典型算法Gerstner和FFT算法进行性能对比。实验结果表明,本文算法能生成丰富、自然的水波运动,且一定程度上减少了水波模拟过程中的计算量(约13%),适用于实时性要求较高的系统。
[Abstract]:In this paper, by analyzing the Taylor expansion of trigonometric functions, a method of optimizing trigonometric functions using polynomial functions is proposed, which is used to improve the real-time performance of water wave simulation in virtual systems. In this algorithm, the diversity of water wave waveform is realized by introducing many parameters of control waveform. On this basis, a method of calculating surface normal vectors is proposed to better interact with the surrounding environment and light. The natural water wave image is used as reference, and the performance is compared with the typical algorithms Gerstner and FFT. The experimental results show that the proposed algorithm can generate abundant and natural water wave motion, and reduce the computational cost (about 13%) in the process of water wave simulation to a certain extent, so it is suitable for the system with high real-time performance.
【作者单位】： 深圳大学计算机与软件学院;
【基金】：科技部国家科技支撑计划项目(2014BAH28F05)资助
【分类号】：TP391.9
本文编号：2383755
[Abstract]:In this paper, by analyzing the Taylor expansion of trigonometric functions, a method of optimizing trigonometric functions using polynomial functions is proposed, which is used to improve the real-time performance of water wave simulation in virtual systems. In this algorithm, the diversity of water wave waveform is realized by introducing many parameters of control waveform. On this basis, a method of calculating surface normal vectors is proposed to better interact with the surrounding environment and light. The natural water wave image is used as reference, and the performance is compared with the typical algorithms Gerstner and FFT. The experimental results show that the proposed algorithm can generate abundant and natural water wave motion, and reduce the computational cost (about 13%) in the process of water wave simulation to a certain extent, so it is suitable for the system with high real-time performance.
【作者单位】： 深圳大学计算机与软件学院;
【基金】：科技部国家科技支撑计划项目(2014BAH28F05)资助
【分类号】：TP391.9
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