基于冷暖光照模型的矢量场稀疏纹理绘制  

Sparse Texture Visualization for Vector Fields Based on Cool/Warm Illumination Model

作　　者：蔡勋[1] 岳凯[1] 徐华勋[1] 

机构地区：[1]国防科学技术大学计算机学院,长沙410073

出　　处：《计算机辅助设计与图形学学报》2010年第12期2083-2088,共6页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家"九七三"重点基础研究发展计划项目(2009CB723803)

摘　　要：针对传统三维矢量场纹理映射方法中矢量场方向信息表现不明确的问题,在经典冷暖光照模型基础上,提出了基于冷暖源的渐变光照模型和基于噪声中心的冷暖光照模型.首先应用Halton序列和Gauss滤波生成稀疏噪声,然后引入冷暖源、距离因子等概念,分别通过距离因子控制和基于纹理片元噪声变化的规律,实现了由纹理冷暖色温的变化来清晰地反映矢量场方向信息.实验结果表明,文中提出的2种光照模型均能够通过冷暖色温的变化清晰地从整体和局部两个方面反映出矢量场方向信息,有效地提高了可视化的表现效果.Texture-based methods play a very important role for visualizing 3D flows.However,many existing methods suffer a difficulty that can＇t express the flow direction concretely.To overcome this problem,we present in this paper two novel illuminating methods which are based on the classical cool/warm illumination model.First,we present the Halton sequence and Gauss filter to produce sparse noises,which are the input data for the next LIC calculation.Then we introduce some concepts,such as the cool/warm source and the distance factor,to build our coolwarm illumination models.One of the method expresses the flow direction globally through the distance factor value.Another method controls the color change from warm to cool for each texture fragment by analyzing the Gauss noises.The experimental results show that our methods can reflect the concrete vector direction clearly in the global and local manners.

关 键 词：Halton序列 Gauss滤波 光照模型 冷暖源 距离因子 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]