Ferrero A, Campos J, Rabal A M, Pons A, Hernanz M L, Corróns A
Instituto de Óptica, Consejo Superior de Investigaciones Científicas (CSIC), Madrid 28006, Spain.
Opt Express. 2011 Sep 26;19(20):19199-211. doi: 10.1364/OE.19.019199.
The Bidirectional Reflectance Distribution Function (BRDF) is essential to characterize an object's reflectance properties. This function depends both on the various illumination-observation geometries as well as on the wavelength. As a result, the comprehensive interpretation of the data becomes rather complex. In this work we assess the use of the multivariable analysis technique of Principal Components Analysis (PCA) applied to the experimental BRDF data of a ceramic colour standard. It will be shown that the result may be linked to the various reflection processes occurring on the surface, assuming that the incoming spectral distribution is affected by each one of these processes in a specific manner. Moreover, this procedure facilitates the task of interpolating a series of BRDF measurements obtained for a particular sample.
双向反射分布函数（BRDF）对于表征物体的反射特性至关重要。该函数既取决于各种照明 - 观测几何条件，也取决于波长。因此，对数据的全面解释变得相当复杂。在这项工作中，我们评估了主成分分析（PCA）这种多变量分析技术在陶瓷颜色标准的实验BRDF数据中的应用。结果表明，假设入射光谱分布受到这些过程中每一个的特定影响，那么该结果可能与表面发生的各种反射过程相关联。此外，这个过程有助于对特定样品获得的一系列BRDF测量值进行插值的任务。
