Non-line-of-sight imaging

被引:0
|
作者
Daniele Faccio
Andreas Velten
Gordon Wetzstein
机构
[1] University of Glasgow,School of Physics and Astronomy
[2] University of Wisconsin–Madison,Department of Biostatistics and Medical Informatics
[3] University of Wisconsin–Madison,Department of Electrical and Computer Engineering
[4] Stanford University,Department of Electrical Engineering
来源
Nature Reviews Physics | 2020年 / 2卷
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摘要
Emerging single-photon-sensitive sensors produce picosecond-accurate time-stamped photon counts. Applying advanced inverse methods to process these data has resulted in unprecedented imaging capabilities, such as non-line-of-sight (NLOS) imaging. Rather than imaging photons that travel along direct paths from a source to an object and back to the detector, NLOS methods analyse photons that travel along indirect light paths, scattered from multiple surfaces, to estimate 3D images of scenes outside the direct line of sight of a camera, hidden by a wall or other obstacles. We review the transient imaging techniques that underlie many NLOS imaging approaches, discuss methods for reconstructing hidden scenes from time-resolved measurements, describe some other methods for NLOS imaging that do not require transient imaging and discuss the future of ‘seeing around corners’.
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页码:318 / 327
页数:9
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