计算机应用 ›› 2013, Vol. 33 ›› Issue (11): 2013-01.

• 多媒体处理技术 •    下一篇

基于结构化粒子模型的云可视化应用

王畅1,谢永华1,2,袁复兴1   

  1. 1. 南京信息工程大学 计算机与软件学院,南京 210044
    2. 南京信息工程大学 江苏省网络监控中心,南京 210044
  • 收稿日期:2013-05-10 修回日期:2013-07-17 出版日期:2013-11-01 发布日期:2013-12-04
  • 通讯作者: 王畅
  • 作者简介:王畅(1987-),男,江苏徐州人,硕士研究生,主要研究方向:数据可视化、图像处理与分析;谢永华(1976-),男,江苏靖江人,教授,主要研究方向:模式识别、基于内容的图像检索技术、气象数据三维可视化技术;袁复兴(1989-),男,江苏徐州人,硕士研究生,主要研究方向:图像处理、三维可视化。
  • 基金资助:
    国家863计划项目

Application on cloud visualization based on structured particle model

WANG Chang1,XIE Yonghua1,2,YUAN Fuxing1   

  1. 1. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing Jiangsu 210044, China;
    2. Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing Jiangsu 210044, China
  • Received:2013-05-10 Revised:2013-07-17 Online:2013-12-04 Published:2013-11-01
  • Contact: WANG Chang

摘要: 云数据的三维可视化模拟一直是计算机图形学和气象科学领域的研究热点。提出了基于WRF模式数据的建模与渲染技术,以实现真实云数据三维可视化模拟。针对粒子系统建模复杂、实时性差的问题,首先通过计算云粒子之间的相互关系建立结构化粒子模型,实现WRF云数据的建模;然后利用光照模型和公告牌技术对建模粒子进行光照渲染和三维模拟,同时结合Imposter技术提高纹理绘制速度和效果。实验仿真结果验证了该方法在提高云数据的建模与渲染速度,提高云三维可视化的逼真度方面的有效性。

关键词: WRF模式, 结构化粒子系统, 纹理映射, 公告牌技术, 三维可视化

Abstract: The 3D virtualization of cloud data has always been the hotspot of computational graphics and meteorology. A method for data modeling and rendering based on Weather Research and Forecasting (WRF) was proposed to realize the 3D virtual simulation of real-world cloud data. Due to the complexity of particle system modeling and its poor real-time performance, a WRF cloud model was first set up, regarding the relationship between particles in the cloud system; further illumination rendering and 3D simulation were completed based on the illumination model and billboard technique; meanwhile, Imposter technique was introduced to speed up the texture mapping and improve the performance. The simulation results show that the proposed method owns the benefits of fast modeling and rendering of cloud data as well as good fidelity of the 3D virtualization model.

Key words: Weather Research and Forecasting (WRF) model, structured particle system, texture mapping, billboard technique, 3D virtualization

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