Emerging single-photon-sensitive sensors produce picosecond-accurate time-stamped
photon counts. Applying advanced inverse methods to process these data has resulted in …

Seeing around corners, also known as non-line-of-sight (NLOS) imaging is a computational
method to resolve or recover objects hidden around corners. Recent advances in imaging …

Imaging objects outside a camera's direct line of sight has important applications in robotic
vision, remote sensing, and many other domains. Time-of-flight-based non-line-of-sight …

Computing the amounts of light arriving from different directions enables a diffusely
reflecting surface to play the part of a mirror in a periscope—that is, perform non-line-of-sight …

We present a novel theory of Fermat paths of light between a known visible scene and an
unknown object not in the line of sight of a transient camera. These light paths either obey …

Conventional sensor systems record information about directly visible objects, whereas
occluded scene components are considered lost in the measurement process. Non-line-of …

Abstract Non-line-of-sight (NLOS) imaging recovers objects using diffusely reflected indirect
light using transient illumination devices in combination with a computational inverse …

Imaging through fog has important applications in industries such as self-driving cars,
augmented driving, airplanes, helicopters, drones and trains. Here we show that time …

Objects obscured by occluders are considered lost in the images acquired by conventional
camera systems, prohibiting both visualization and understanding of such hidden objects …

Abstract Non-line-of-sight (NLOS) imaging enables unprecedented capabilities in a wide
range of applications, including robotic and machine vision, remote sensing, autonomous …