We introduce an approach for three-dimensional full-colour non-line-of-sight imaging with
an ordinary camera that relies on a complementary combination of a new measurement …

Passive non-line-of-sight (NLOS) imaging has potential applications in autonomous driving
and search and rescue, but current deep learning approaches often produce suboptimal …

Non-line-of-sight (NLOS) imaging systems involve the measurement of an optical signal at a
diffuse surface. A forward model encodes the physics of these measurements …

Abstract Non-line-of-sight (NLoS) reconstruction, ie, the task of imaging scenes beyond the
camera's field of view, is often implemented using source-and-sensor systems that scan the …

Conventional imaging requires a line of sight to create accurate visual representations of a
scene. In certain circumstances, however, obtaining a suitable line of sight may be …

The ability to image a scene without a direct line of sight has been demonstrated by
exploiting measurements of light transients, speckle correlations, or even soft shadows (ie …

We demonstrate high-quality 3D non-line-of-sight imaging by exploiting a two-edge occluder
and a scene representation constructed through a Fisher information analysis. Our …

Shady Science: The Role of Shadows in Non-Line-of-Sight Imaging Page 1 50 feature
XRDS • WINTER 2024 • VOL.31 • NO.2 by accidental pinhole cameras formed through …

Random coding single-photon 3D imaging with single photon avalanche diode (SPAD),
which overcomes crosstalk and addresses the range ambiguity, has emerged as a …