自适应优化的大范围近海浪实时绘制

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (10): 2502-2507.

自适应优化的大范围近海浪实时绘制

王顺利^1,2, 康凤举^1,2, 徐建华^1,2

1.西北工业大学航海学院,陕西西安 710072;
2.水下信息处理与控制国家重点实验室,陕西西安 710072

收稿日期:2015-06-10 修回日期:2015-07-20 出版日期:2015-10-08 发布日期:2020-08-07
作者简介:王顺利(1987-),男,安徽阜阳,博士生,研究方向为计算机仿真、虚拟现实;康凤举(1947-),男,江苏南通,教授,博导,研究方向为系统仿真理论及应用、自动控制理论;徐建华(1979-),男,江苏南通,博士生,研究方向为计算机仿真、虚拟现实。

Real-time Rendering of Large-scale Coastal Water Based on Adaptive Optimization

Wang Shunli^1,2, Kang Fengju^1,2, Xu Jianhua^1,2

1. School of Marine Technology, Northwestern Ploytechnical University, Xi'an 710072, China;
2. National Key Laboratory of Underwater Information Process and Control, Xi'an 710072, China

Received:2015-06-10 Revised:2015-07-20 Online:2015-10-08 Published:2020-08-07

摘要/Abstract

摘要： 针对大范围近海浪可视化中海浪模型计算复杂且实时性不足的问题,提出了一种基于自适应优化算法的大范围近海浪实时绘制方法。引入自动融合算法构建复杂海浪数学模型;利用碰撞检测算法并根据海岸特征优化海浪网格;加入海浪表面噪声扰动,以增加真实感;应用动态纹理贴图技术实现了浪花和倒影等海面特效。实验结果表明：该方法生成的大范围近海浪场景逼真度高,满足实时性的要求。

关键词: 实时绘制, 自适应优化, 近海浪, 大范围

Abstract: Focusing on the complex of the wave model and the poor performance of real-time in the large-scale coastal water visualization, a new method based on adaptive optimization for coastal water rendering in real-time was proposed. By introducing the automatic merging algorithm, the complex wave model could be constructed. According to the collision detection technology, the water mesh could be adaptively optimized. In order to improve the realistic, a noise was added to the water surface. The foam and reflection were realized by applying the dynamic texture mapping technology. The experimental results show that the generated coastal water has higher fidelity and can meet the requirement of real-time.

Key words: real-time rendering, adaptive optimization, coastal water, large-scale

中图分类号:

TP391.9

王顺利, 康凤举, 徐建华. 自适应优化的大范围近海浪实时绘制[J]. 系统仿真学报, 2015, 27(10): 2502-2507.

Wang Shunli, Kang Fengju, Xu Jianhua. Real-time Rendering of Large-scale Coastal Water Based on Adaptive Optimization[J]. Journal of System Simulation, 2015, 27(10): 2502-2507.

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