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A Physically-Based Approach to Reflection Separation: From Physical Modeling to Constrained Optimization

机译:基于物理的反射分离方法:从物理建模到约束优化

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We propose a physically-based approach to separate reflection using multiple polarized images with a background scene captured behind glass. The input consists of three polarized images, each captured from the same view point but with a different polarizer angle separated by 45 degrees. The output is the high-quality separation of the reflection and background layers from each of the input images. A main technical challenge for this problem is that the mixing coefficient for the reflection and background layers depends on the angle of incidence and the orientation of the plane of incidence, which are spatially varying over the pixels of an image. Exploiting physical properties of polarization for a double-surfaced glass medium, we propose a multiscale scheme which automatically finds the optimal separation of the reflection and background layers. Through experiments, we demonstrate that our approach can generate superior results to those of previous methods.
机译:我们提出了一种基于物理的方法,该方法使用多个偏振图像分离反射,并在玻璃后面捕获背景场景。输入由三个偏振图像组成,每个图像都是从同一视点捕获的,但偏振角不同,相隔45度。输出是反射层和背景层与每个输入图像的高质量分离。该问题的主要技术挑战是反射层和背景层的混合系数取决于入射角和入射平面的方向,它们在图像像素上的空间变化。利用双面玻璃介质的偏振物理特性,我们提出了一种多尺度方案,该方案可以自动找到反射层和背景层的最佳分离。通过实验,我们证明了我们的方法可以产生比以前的方法更好的结果。

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