Parameter Extraction of Physical BRDF Model Using Particle Swarm Optimization Algorithm

被引：0
|
作者：
Chen Ming [1 ]
Zhang Qinghe [1 ]
Zhou Yongyang [1 ]
机构：
[1] China Three Gorges Univ, Coll Sci, Yichang, Peoples R China
来源：
2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP) | 2012年
关键词：
Inversion; BRDF model; fractal surface; particle swarm optimization;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The Physical bidirectional reflectance distribution function (BRDF) models are usually very complex and difficult to invert. In this paper, an inverse analysis based on particle swarm optimization algorithm is developed to estimate the unknown parameters of BRDF from a fractal surface. A comparison of the particle swarm optimization(PSO) algorithm and the Genetic Algorithm (GA) is also are carried out to implement the optimization process of the inverse analysis. Computational results show that the PSO algorithm consumes less time and reaches better modeling accuracy.
引用
收藏
页码：1902 / 1905
页数：4
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