Data-driven diffuse-specular separation of spherical gradient illumination
Data-driven diffuse-specular separation of spherical gradient illumination
复制标题
数据驱动的球面梯度照明的漫反射镜面分离
DOI:
10.1145/1599301.1599334
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发表时间:
2009
期刊:
影响因子:
--
通讯作者:
P. Debevec
中科院分区:
文献类型:
--
作者:
Tongbo Chen;A. Ghosh;P. Debevec
Separation of the diffuse and specular components of observed reflectance has been an active area of research in computer graphics and vision, with major applications in reflectance modeling and scene analysis. Traditionally, researchers have investigated diffusespecular separation under point or directional illumination conditions while employing polarization and, in the case of dielectric materials, color space analysis techniques. Recently, Ma et al. [2007] introduced a technique for estimating high quality diffuse and specular normals and albedo maps (see Fig. 1, (a) & (d)) of a specular object using polarized spherical gradient illumination. However, the employed polarization technique imposes view-point restriction, and results in insufficient light levels for performance capture with high speed acquisition. Hence, in this work, we look into an alternate diffuse-specular separation technique for spherical gradients based on a data-driven reflectance model. Traditional separation techniques based on color space analysis focus on removing specular reflections from the observation for scene analysis [Mallick et al. 2005]. In contrast, we focus on obtaining high quality estimates of both the diffuse and the specular reflectance components.