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Review of methods for resolving multi-path interference in Time-of-Flight range cameras

机译:解决飞行时间范围相机中多路径干扰的方法

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Time-of-Flight range cameras measure the distance from the camera to the objects in the field of view. This is achieved by illuminating the scene with amplitude modulated light and measuring the phase change in the modulation envelope between the transmitted and received light, simultaneously for each pixel. A major cause of accuracy errors are multiple propagation paths between the light source and pixel. This error is highly scene dependent and can be substantial. In this paper we review the state of art in multi-path interference correction. Two mathematical models dominate the literature, a sparse formulation from discrete paths and a lambertian inter-reflection model. The recovery methods for the sparse formulation are effective at looking through a translucent sheet, while lambertian model based techniques can reduce the errors due to inter-reflections in a corner.
机译:飞行时间范围摄像机可测量从摄像机到视野中物体的距离。这是通过同时对每个像素用调幅的光照射场景并测量发射和接收的光之间的调制包络中的相位变化来实现的。精度误差的主要原因是光源和像素之间的多个传播路径。此错误在很大程度上取决于场景,并且可能很大。在本文中,我们回顾了多径干扰校正的最新技术。文献中有两个数学模型,一个是离散路径的稀疏公式,另一个是朗伯反射模型。稀疏配方的恢复方法可有效地透视半透明板,而基于朗伯模型的技术可减少由于拐角处的相互反射而导致的误差。

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