Stochastic Exposure Coding for Handling Multi-ToF-Camera Interference
Stochastic Exposure Coding for Handling Multi-ToF-Camera Interference
复制标题
用于处理多 ToF 相机干扰的随机曝光编码
DOI：
10.1109/iccv.2019.00797
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Mohit Gupta
中科院分区：
文献类型：
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作者：
Jongho Lee;Mohit Gupta
随着连续波飞行时间（C-ToF）相机在3D成像应用中的普及，它们需要解决多相机干扰（MCI）问题。在多相机环境中，ToF相机可能从其他相机的光源接收光，从而导致大的深度误差。在本文中，我们提出了随机暴露编码（SEC），这是一种新的缓解方法。SEC涉及将相机的集成时间划分为多个时隙，并在每个时隙期间随机关闭和打开相机。这种方法有两个好处。首先，通过适当地选择每个时隙的开启概率，相机可以有效地滤除干扰信号的AC和DC分量，从而减轻深度误差，同时还保持高信噪比。这实现了具有低功耗的高精度深度恢复。其次，该方法可以在不修改C-ToF相机的编码功能的情况下实现，并且因此可以以最小的改变与各种相机一起使用。我们通过理论分析、模拟和真实的实验，在广泛的成像场景中展示了SEC的性能优势。
As continuous-wave time-of-flight (C-ToF) cameras become popular in 3D imaging applications, they need to contend with the problem of multi-camera interference (MCI). In a multi-camera environment, a ToF camera may receive light from the sources of other cameras, resulting in large depth errors. In this paper, we propose stochastic exposure coding (SEC), a novel approach for mitigating. SEC involves dividing a camera's integration time into multiple slots, and switching the camera off and on stochastically during each slot. This approach has two benefits. First, by appropriately choosing the on probability for each slot, the camera can effectively filter out both the AC and DC components of interfering signals, thereby mitigating depth errors while also maintaining high signal-to-noise ratio. This enables high accuracy depth recovery with low power consumption. Second, this approach can be implemented without modifying the C-ToF camera's coding functions, and thus, can be used with a wide range of cameras with minimal changes. We demonstrate the performance benefits of SEC with theoretical analysis, simulations and real experiments, across a wide range of imaging scenarios.