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 …

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

How to image objects that are hidden from a camera's view is a problem of fundamental
importance to many fields of research 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 …

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 …

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 …

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 …

BACKGROUND Imaging technologies, which extend human vision capabilities, are such a
natural part of our current everyday experience that we often take them for granted …

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

Human activity monitoring is an exciting research area to assist independent living among
disabled and elderly population. Various techniques have been proposed to recognise …