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Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second

Engineering and Technology

Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second

J. H. Nam, E. Brandt, et al.

This groundbreaking research conducted by Ji Hyun Nam, Eric Brandt, Sebastian Bauer, Xiaochun Liu, Marco Renna, Alberto Tosi, Eftychios Sifakis, and Andreas Velten showcases a multipixel time-of-flight NLOS imaging technique that brings to life the 3D geometry of hidden objects. It employs advanced SPAD detectors and a fast reconstruction method, offering low-latency video capture of complex scenes with natural objects, revolutionizing NLOS imaging.

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~3 min • Beginner • English
Abstract
Non-Line-Of-Sight (NLOS) imaging aims at recovering the 3D geometry of objects that are hidden from the direct line of sight. One major challenge with this technique is the weak available multibounce signal limiting scene size, capture speed, and reconstruction quality. To overcome this obstacle, we introduce a multipixel time-of-flight non-line-of-sight imaging method combining specifically designed Single Photon Avalanche Diode (SPAD) array detectors with a fast reconstruction algorithm that captures and reconstructs live low-latency videos of non-line-of-sight scenes with natural non-retroreflective objects. We develop a model of the signal-to-noise-ratio of non-line-of-sight imaging and use it to devise a method that reconstructs the scene such that signal-to-noise-ratio, motion blur, angular resolution, and depth resolution are all independent of scene depth suggesting that reconstruction of very large scenes may be possible.
Publisher
Nature Communications
Published On
Nov 11, 2021
Authors
Ji Hyun Nam, Eric Brandt, Sebastian Bauer, Xiaochun Liu, Marco Renna, Alberto Tosi, Eftychios Sifakis, Andreas Velten
Tags
Non-Line-Of-Sight
3D imaging
SPAD detectors
reconstruction algorithm
signal-to-noise ratio
low-latency video
natural scenes
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