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A light transport model for mitigating multipath interference in Time-of-flight sensors

机译:一种用于减轻飞行时间传感器中多径干扰的光传输模型

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摘要

Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable technology with many applications in computer vision and graphics. However, the depth images obtained from TOF cameras contain scene dependent errors due to multipath interference (MPI). Specifically, MPI occurs when multiple optical reflections return to a single spatial location on the imaging sensor. Many prior approaches to rectifying MPI rely on sparsity in optical reflections, which is an extreme simplification. In this paper, we correct MPI by combining the standard measurements from a TOF camera with information from direct and global light transport. We report results on both simulated experiments and physical experiments (using the Kinect sensor). Our results, evaluated against ground truth, demonstrate a quantitative improvement in depth accuracy.
机译:连续波飞行时间(TOF)距离成像已成为一项在商业上可行的技术,在计算机视觉和图形学中有许多应用。但是,由于多径干扰(MPI),从TOF摄像机获得的深度图像包含与场景有关的错误。具体而言,MPI在多次光学反射返回到成像传感器上的单个空间位置时发生。纠正MPI的许多现有方法都依赖于光学反射的稀疏性,这是极其简化的。在本文中,我们将TOF摄像机的标准测量值与直接和全局光传输的信息相结合来校正MPI。我们报告模拟实验和物理实验(使用Kinect传感器)的结果。根据地面真实性评估的我们的结果证明了深度精度的定量提高。

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