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火焰、烟、云等不规则物体的建模方法研究综述
引用本文:张芹,谢隽毅,吴慧中,张正军.火焰、烟、云等不规则物体的建模方法研究综述[J].中国图象图形学报,2000,5(3):186-190.
作者姓名:张芹  谢隽毅  吴慧中  张正军
作者单位:南京理工大学计算机系!南京210094
基金项目:“九五”国防预研项目!( 4.4.3 .7)
摘    要:对计算机图形学领域的火焰,烟、云等不规则物体建模及模拟方法的研究动态进行了综述性介绍,在介绍描述云的分形几何模,描述火焰的细胞自动模型,描述气体现象运动特征的扩散过程及粒子系统模型,纹理映射模型和光照模型的基础上,分析和总结了几个主要方法的特点及使用场合。

关 键 词:不规则物体  建模  细胞自动机  分形  计算机图形学
收稿时间:7/3/1999 12:00:00 AM
修稿时间:1999-07-03

Overview of Methods of Modeling for Irregular Objects
ZHANG Qin,XIE Jun-yi,WU Hui-zhong and ZHANG Zhen-jun.Overview of Methods of Modeling for Irregular Objects[J].Journal of Image and Graphics,2000,5(3):186-190.
Authors:ZHANG Qin  XIE Jun-yi  WU Hui-zhong and ZHANG Zhen-jun
Affiliation:Computer Department Nanjing University of Science and Technology,Nanjing 210094;Computer Department Nanjing University of Science and Technology,Nanjing 210094;Computer Department Nanjing University of Science and Technology,Nanjing 210094;Computer Department Nanjing University of Science and Technology,Nanjing 210094
Abstract:Developing a visually convincing model of fire, smoke, clouds and other irregular fuzzy objects is the most difficult and attractive problems in computer graphics. This paper relates several methods for modeling and simulating irregular objects such as fire, smoke, and clouds. Solid texture based model, fractal based clouds model, diffusion processes based fire model, cellular automata based flame model, and particle system based fire model and clouds model presented by researchers in recent years are introduced here. Lastly, we analyze the performance such as representation of the object, a model for its spatiotemporal behavior and application environments of these existing models, especially for the models based on particle system which can represent motion, changes of form, and dynamics that are not possible with classical surfaced based representations and can easily generate richly detailed images. For particle system, the quickly computable models have to be developed to describe these objects in the future.
Keywords:Modeling for irregular objects  Diffusion processes  Particle system  Cellular automata  Fractal
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