Adaptive Gating for Single-Photon 3D Imaging

Adaptive Gating for Single-Photon 3D Imaging
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DOI:
10.1109/cvpr52688.2022.01587
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发表时间:
2021-11
期刊:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
影响因子:
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通讯作者:
Ryan Po;A. Pediredla;Ioannis Gkioulekas
Ryan Po;A. Pediredla;Ioannis Gkioulekas
中科院分区:
其他
文献类型:
--
作者:
Ryan Po;A. Pediredla;Ioannis Gkioulekas

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单光子雪崩二极管(SPAD)在深度感测任务中越来越受欢迎。然而,由于堆积效应,SPAD仍然在高环境光的存在下挣扎。常规技术利用固定或异步门控来最小化堆积效应,但是这些门控方案都是非自适应的,因为它们不能将诸如场景先验和先前光子检测的因素并入到它们的门控策略中。我们提出了一个自适应门控方案建立在汤普森采样。自适应门控基于先前的光子观测周期性地更新门位置,以便最小化深度误差。我们的实验表明,我们的门控策略的结果显着减少深度重建误差和采集时间,即使在户外工作在强烈的阳光条件下。
Single-photon avalanche diodes (SPADs) are growing in popularity for depth sensing tasks. However, SPADs still struggle in the presence of high ambient light due to the effects of pile-up. Conventional techniques leverage fixed or asynchronous gating to minimize pile-up effects, but these gating schemes are all non-adaptive, as they are unable to incorporate factors such as scene priors and previous photon detections into their gating strategy. We propose an adaptive gating scheme built upon Thompson sampling. Adaptive gating periodically updates the gate position based on prior photon observations in order to minimize depth errors. Our experiments show that our gating strategy results in significantly reduced depth reconstruction error and acquisition time, even when operating outdoors under strong sunlight conditions.