PRINCIPAL COMPONENTS ANALYSIS ON THE SPECTRAL BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTION

被引：0
|
作者：
Ferrero, A. [1 ]
Campos, J. [1 ]
Rabal, A. M. [1 ]
Pons, A. [1 ]
Fontecha, J. L. [2 ]
Corrons, A. [1 ]
机构：
[1] CSIC, Inst Opt Daza de Valdes, Madrid, Spain
[2] CSIC, Inst Fis Aplicada, Madrid, Spain
来源：
27TH SESSION OF THE CIE, VOL. 1, PTS 1 AND 2 | 2011年
关键词：
Radiometry; Bidirectional Reflectance Distribution Function (BRDF); Principal Components Analysis (PCA); MODEL;
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 Bidirectional Reflectance Distribution Function (BRDF) is fundamental to characterize an object's reflecting properties. This function depends on both the different geometries illumination/viewing and the wavelength, and in consequence the integral interpretation of data is complex. The application of the Principal Components Analysis (PCA) multivariate analysis technique is evaluated on the BRDF experimental data of a Spectralon sample, allowing the spectral-angular dependence of the BRDF to be easily understood. This technique must help to develop physical-based models of reflection.
引用
收藏
页码：807 / 813
页数：7
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