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Modeling image irradiance under natural illumination and isotropic surface reflectance

机译:模拟自然光照和各向同性表面反射率下的图像辐照度

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Discounting subsurface scattering and surface emittance, this work seeks to address the question; how to accurately represent image irradiance under unknown general illumination and reflectance, given that a surface point sees its surrounding world through the local upper hemisphere oriented by the surface normal at this point. In this paper, we formulate the image formation process of isotropic surfaces under arbitrary distant illumination in the frequency space while addressing the physical compliance of hemispherical basis for representing surface reflectance, e.g. Helmholtz reciprocity and isotropy. This representation is further reduced in dimensionality through analytically deriving the principal components of the image irradiance. A database of natural illumination and real world surface materials are used to compute a general-purpose basis which captures the full behavior of illumination and reflectance in a lower-dimensional subspace for image irradiance representation. Compared to similar basis in literature, our proposed basis achieves higher accuracy levels at lower illumination orders.
机译:消除地下散射和表面发射,这项工作旨在解决这个问题。假设一个表面点通过表面法线定向的本地上半球看到了它的周围世界,那么如何在未知的一般光照和反射率下准确地表示图像辐照度。在本文中,我们制定了在频率空间中任意远距离照明下各向同性表面的成像过程,同时解决了表示表面反射率的半球形基础的物理顺应性,例如亥姆霍兹互易性和各向同性。通过分析得出图像辐照度的主要成分,可以进一步减小这种表示的尺寸。自然照明和现实世界表面材料的数据库用于计算通用基础,该基础可捕获低维子空间中照明和反射的全部行为以表示图像辐照度。与文献中类似的基础相比,我们提出的基础在较低的照明阶数下实现了更高的准确度。

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