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Color Photometric Stereo Using a Rainbow Light for Non-Lambertian Multicolored Surfaces

机译:使用彩虹光对非朗伯彩色表面进行彩色光度学立体

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This paper presents a novel approach for recovering the shape of non-Lambertian, multicolored objects using two input images. We show that a ring light source with complementary colored lights has the potential to be effectively utilized for this purpose. Under this lighting, the brightness of an object surface varies with respect to different reflections. Therefore, analyzing how brightness is modulated by illumination color gives us distinct cues to recover shape. Moreover, the use of complementary colored illumination enables the color photometric stereo to be applicable to multicolored surfaces. Here, we propose a color correction method based on the addition principle of complementary colors to remove the effect of illumination from the observed color. This allows the inclusion of surfaces with any number of chromaticities. Therefore, our method offers significant advantages over previous methods, which often assume constant object albedo and Lambertian reflectance. To the best of our knowledge, this is the first attempt to employ complementary colors on a ring light source to compute shape while considering both non-Lambertian reflection and spatially varying albedo. To show the efficacy of our method, we present results on synthetic and real world images and compare against photometric stereo methods elsewhere in the literature.
机译:本文提出了一种使用两个输入图像恢复非朗伯多色物体形状的新颖方法。我们表明,具有互补色光的环形光源具有被有效地用于此目的的潜力。在这种照明下,物体表面的亮度会因不同的反射而变化。因此,分析照明颜色如何调节亮度可为我们提供不同的线索来恢复形状。而且,互补色照明的使用使得彩色光度立体可以应用于多色表面。在这里,我们提出了一种基于互补色相加原理的颜色校正方法,以从观察到的颜色中消除照明的影响。这允许包含具有任何数量色度的表面。因此,与以前的方法相比,我们的方法具有显着的优势,后者通常假定恒定的物体反照率和朗伯反射率。据我们所知,这是首次尝试在环形光源上使用互补色来计算形状,同时考虑非朗伯反射和空间变化的反照率。为了展示我们方法的有效性,我们在合成和真实世界的图像上呈现了结果,并与文献中其他地方的光度立体方法进行了比较。

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