Estimating spectral reflectance of fabrics from high-resolution multi-band HDR images
Estimating spectral reflectance of fabrics from high-resolution multi-band HDR images
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DOI：
10.1109/fcv.2015.7103731
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Shiro Tanaka;Aki Takayanagi;M. Tsuchida;Y. Sakaguchi;Hiromi T. Tanaka
中科院分区：
文献类型：
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作者：
Shiro Tanaka;Aki Takayanagi;M. Tsuchida;Y. Sakaguchi;Hiromi T. Tanaka
机织物的材料感是由基于织物表面微观结构的几何因素和基于纤维和纱线的反射和透射特性的光学因素产生的。为了真实地再现织物的材质感，我们在一个像素（尺寸：5 ~ 7μm）内观察织物表面反射的高分辨率多波段高动态范围（HDR）图像，并使用偏最小二乘法（PLS）估计每个像素的光谱反射率。在PLS方法中，需要与观测图像和由分光光度计测量的光谱反射率相对应的训练样本。然而，织物的光谱反射率高于训练样本，如颜色补丁。因此，与训练样本相比，在高亮度范围内估计精度降低。在本文中，我们提出了一种方法来估计具有高反射率，如织物的光谱反射率，并显示所提出的方法的有效性。此外，我们已经证实，包含物体颜色的镜面反射在织物的高光区域上更强。
Material perception of woven fabrics is produced by the geometric factors based on microscopic structure of the fabric surface and optical factors based on reflection and transmission properties of fibers and yarns. In order to faithfully reproduce the material perception of the fabric, we observe the high-resolution multi-band high dynamic range (HDR) image of the reflection of fabric surface in one pixel (size: 5 ~ 7μm), and estimate the spectral reflectance for each pixel using the partial least squares (PLS) method. In PLS method, the training samples corresponding to the observed image and the spectral reflectance that was measured by the spectrophotometer are required. However, spectral reflectance of fabric is higher than training samples such as color patches. Therefore, the estimation accuracy decreased in the range of high luminance compared with the training samples. In this paper, we propose a method for estimating the spectral reflectance of having high reflectance, such as fabric, and show the effectiveness of the proposed method. In addition, we have confirmed that the specular reflection containing the object color is stronger on the high light area of the fabric.