非视线传播
计算机科学
光子
光学
人工智能
探测器
计算机视觉
数据采集
过程(计算)
迭代重建
图像质量
还原(数学)
事件(粒子物理)
物理
图像(数学)
电信
操作系统
量子力学
无线
几何学
数学
作者
Zhupeng Li,Xintong Liu,Jianyu Wang,Zuoqiang Shi,Lingyun Qiu,Xing Fu
出处
期刊:Optics Letters
[The Optical Society]
日期:2022-03-10
卷期号:47 (8): 1928-1928
被引量:9
摘要
Non-line-of-sight (NLOS) imaging enables people to see a hidden scene based on multiple interaction information between the object and the carrier. There have been numerous studies focusing on the physical modeling of photon scattering, but few have explored the detection process, which also plays a vital role. In this paper, we put forward a novel, to the best of our knowledge, detection methodology for NLOS imaging based on time-sequential first photon (TSFP) data. We verify the method with both synthetic and experimental data, showing a dramatic reduction in acquisition time cost compared with traditional methods for the same reconstruction quality. This work may contribute to real-time and photon-starved NLOS imaging for practical applications.
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