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Linear Depth Estimation from an Uncalibrated, Monocular Polarisation Image

机译:来自未校准,单眼偏振图像的线性深度估计

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We present a method for estimating surface height directly from a single polarisation image simply by solving a large, sparse system of linear equations. To do so, we show how to express polarisation constraints as equations that are linear in the unknown depth. The ambiguity in the surface normal azimuth angle is resolved globally when the optimal surface height is reconstructed. Our method is applicable to objects with uniform albedo exhibiting diffuse and specular reflectance. We extend it to an uncalibrated scenario by demonstrating that the illumination (point source or first/second order spherical harmonics) can be estimated from the polarisation image, up to a binary convex/concave ambiguity. We believe that our method is the first monocular, passive shape-from-x technique that enables well-posed depth estimation with only a single, uncalibrated illumination condition. We present results on glossy objects, including in uncontrolled, outdoor illumination.
机译:我们通过求解大型线性方程的大型稀疏系统,介绍一种用于估计从单个偏振图像的表面高度的方法。为此,我们展示了如何表达偏振约束作为在未知深度中线性的等式。当重建最佳表面高度时,地面正常方位角的歧义在全球范围内得到解决。我们的方法适用于具有均匀反射剂的对象,该对象表现出弥漫性和镜面反射率。我们通过证明可以从偏振图像估计照明(点源或第一/二阶球形谐波)将其扩展到未校准场景,直到二进制凸/凹模糊。我们认为,我们的方法是第一种单眼,被动形状-F-X技术,使得仅具有单个未校准的照明条件良好的深度估计。我们呈现出光泽物体的结果,包括不受控制的户外照明。

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