On the use of deep learning for computational imaging
Since their inception in the 1930–1960s, the research disciplines of computational imaging
and machine learning have followed parallel tracks and, during the last two decades …
and machine learning have followed parallel tracks and, during the last two decades …
Non-line-of-sight imaging
Emerging single-photon-sensitive sensors produce picosecond-accurate time-stamped
photon counts. Applying advanced inverse methods to process these data has resulted in …
photon counts. Applying advanced inverse methods to process these data has resulted in …
Wave-based non-line-of-sight imaging using fast fk migration
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 …
vision, remote sensing, and many other domains. Time-of-flight-based non-line-of-sight …
Non–line-of-sight imaging over 1.43 km
Non–line-of-sight (NLOS) imaging has the ability to reconstruct hidden objects from indirect
light paths that scatter multiple times in the surrounding environment, which is of …
light paths that scatter multiple times in the surrounding environment, which is of …
Computational periscopy with an ordinary digital camera
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 …
reflecting surface to play the part of a mirror in a periscope—that is, perform non-line-of-sight …
Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second
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 …
that are hidden from the direct line of sight. One major challenge with this technique is the …
A theory of fermat paths for non-line-of-sight shape reconstruction
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 …
unknown object not in the line of sight of a transient camera. These light paths either obey …
Fast non-line-of-sight imaging with high-resolution and wide field of view using synthetic wavelength holography
The presence of a scattering medium in the imaging path between an object and an
observer is known to severely limit the visual acuity of the imaging system. We present an …
observer is known to severely limit the visual acuity of the imaging system. We present an …
Seeing around street corners: Non-line-of-sight detection and tracking in-the-wild using doppler radar
Conventional sensor systems record information about directly visible objects, whereas
occluded scene components are considered lost in the measurement process. Non-line-of …
occluded scene components are considered lost in the measurement process. Non-line-of …
Towards photography through realistic fog
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 …
augmented driving, airplanes, helicopters, drones and trains. Here we show that time …