图像辐照度的现象学特征函数

Peter Nillius, J. Eklundh
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引用次数: 11

摘要

我们提出了一种计算低维基底的框架,以表示任意照明下具有各向同性反射率的表面的图像辐照度。通过在频率空间中表示光照和双向反射分布函数(BRDF),推导了图像辐照度的模型。然后,在给定光照和表面材料变化的情况下,通过分析构造所有图像的主成分基,该模型的维数被降低。主成分基的构造方式使得BRDF的所有对称性(亥姆霍兹互易性和各向同性)都保留在基函数中。使用该框架,我们使用自然光照数据库和包含真实世界表面材料brdf的CURET数据库来计算基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phenomenological eigenfunctions for image irradiance
We present a framework for calculating low-dimensional bases to represent image irradiance from surfaces with isotropic reflectance under arbitrary illumination. By representing the illumination and the bidirectional reflectance distribution function (BRDF) in frequency space, a model for the image irradiance is derived. This model is then reduced in dimensionality by analytically constructing the principal component basis for all images given the variations in both the illumination and the surface material. The principal component basis are constructed in such a way that all the symmetries (Helmholtz reciprocity and isotropy) of the BRDF are preserved in the basis functions. Using the framework we calculate a basis using a database of natural illumination and the CURET database containing BRDFs of real world surface materials.
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