论文标题
用于射相摄像机极化成像的几何模型
A Geometric Model for Polarization Imaging on Projective Cameras
论文作者
论文摘要
绝大多数形状 - 偏振（SFP）方法在使用拼字摄像机的过度假设下起作用。确实，当传入的光线与图像平面不正交时，它仍然不太了解如何投射stokes矢量。我们试图回答这个问题，提出了一个几何模型，描述了一般投影摄像机如何捕获光偏振状态。基于倾斜偏振器的光学特性，我们的模型被实现为作用于原始图像的预处理操作，然后是重建的正常场的每像素旋转。这样，所有现有的SFP方法假设拼字摄像机的行为就像是为投射摄像机设计的。此外，我们的模型与最先进的前进和逆渲染器（例如Mitsuba3和Art）一致，在捕获的通道之间内在强制实施物理约束，并处理DOFP传感器的示例性。现有数据集和新数据集的实验证明了将模型应用于市售偏光摄像机时的准确性。
The vast majority of Shape-from-Polarization (SfP) methods work under the oversimplified assumption of using orthographic cameras. Indeed, it is still not well understood how to project the Stokes vectors when the incoming rays are not orthogonal to the image plane. We try to answer this question presenting a geometric model describing how a general projective camera captures the light polarization state. Based on the optical properties of a tilted polarizer, our model is implemented as a pre-processing operation acting on raw images, followed by a per-pixel rotation of the reconstructed normal field. In this way, all the existing SfP methods assuming orthographic cameras can behave like they were designed for projective ones. Moreover, our model is consistent with state-of-the-art forward and inverse renderers (like Mitsuba3 and ART), intrinsically enforces physical constraints among the captured channels, and handles demosaicing of DoFP sensors. Experiments on existing and new datasets demonstrate the accuracy of the model when applied to commercially available polarimetric cameras.
