压缩单光子3D相机

Felipe Gutierrez-Barragan, A. Ingle, T. Seets, Mohit Gupta, A. Velten
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引用次数: 7

摘要

单光子雪崩二极管(spad)是一种用于飞行时间(ToF) 3D相机的新兴像素技术,可以以皮秒分辨率捕获单个光子的到达时间。为了估计深度,目前基于spad的3D相机通过建立光子时间戳的逐像素直方图来测量激光脉冲的往返时间。随着spad相机空间分辨率和时间戳分辨率的提高,其输出数据速率远远超过了现有数据传输技术的容量。SPAD的带宽密集型操作的一个主要原因是深度分辨率和直方图分辨率之间存在紧密耦合。为了削弱这种耦合,我们提出了压缩单光子直方图(CSPH)。csph是高分辨率直方图的逐像素压缩表示,它是在检测到每个光子时实时构建的。它们基于一组线性编码方案,可以用简单的矩阵运算表示。我们为3D成像设计了不同的CSPH编码方案,并在不同的信号和背景电平、激光波形和照明设置下对其进行了评估。我们的研究结果表明,设计良好的CSPH可以在不影响深度精度的情况下持续降低1-2个数量级的数据速率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compressive Single-Photon 3D Cameras
Single-photon avalanche diodes (SPADs) are an emerging pixel technology for time-of-flight (ToF) 3D cameras that can capture the time-of-arrival of individual photons at picosecond resolution. To estimate depths, current SPAD-based 3D cameras measure the round-trip time of a laser pulse by building a per-pixel histogram of photon times-tamps. As the spatial and timestamp resolution of SPAD-based cameras increase, their output data rates far exceed the capacity of existing data transfer technologies. One major reason for SPAD's bandwidth-intensive operation is the tight coupling that exists between depth resolution and histogram resolution. To weaken this coupling, we propose compressive single-photon histograms (CSPH). CSPHs are a per-pixel compressive representation of the high-resolution histogram, that is built on-the-fly, as each photon is detected. They are based on a family of linear coding schemes that can be expressed as a simple matrix operation. We design different CSPH coding schemes for 3D imaging and evaluate them under different signal and background levels, laser waveforms, and illumination setups. Our results show that a well-designed CSPH can consistently reduce data rates by 1–2 orders of magnitude without compromising depth precision.
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