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 …
[PDF][PDF] Recent advances on non-line-of-sight imaging: Conventional physical models, deep learning, and new scenes
As an emerging technology that has attracted huge attention, non-line-ofsight (NLOS)
imaging can reconstruct hidden objects by analyzing the diffuse reflection on a relay surface …
imaging can reconstruct hidden objects by analyzing the diffuse reflection on a relay surface …
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 …
Phasor field diffraction based reconstruction for fast non-line-of-sight imaging systems
Abstract Non-line-of-sight (NLOS) imaging recovers objects using diffusely reflected indirect
light using transient illumination devices in combination with a computational inverse …
light using transient illumination devices in combination with a computational inverse …
Learned feature embeddings for non-line-of-sight imaging and recognition
Objects obscured by occluders are considered lost in the images acquired by conventional
camera systems, prohibiting both visualization and understanding of such hidden objects …
camera systems, prohibiting both visualization and understanding of such hidden objects …
Detection of human breathing in non-line-of-sight region by using mmWave FMCW radar
G Li, Y Ge, Y Wang, Q Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Detection of an actionless human hidden in the non-line-of-sight (NLOS) region can be
implemented by combining NLOS object detection and vital sign detection. Since the radar …
implemented by combining NLOS object detection and vital sign detection. Since the radar …
Dynamic non-line-of-sight imaging system based on the optimization of point spread functions
Non-line-of-sight (NLOS) imaging reveals hidden objects reflected from diffusing surfaces or
behind scattering media. NLOS reconstruction is usually achieved by computational …
behind scattering media. NLOS reconstruction is usually achieved by computational …
Two-edge-resolved three-dimensional non-line-of-sight imaging with an ordinary camera
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 …
an ordinary camera that relies on a complementary combination of a new measurement …
Non-line-of-sight imaging with arbitrary illumination and detection pattern
Abstract Non-line-of-sight (NLOS) imaging aims at reconstructing targets obscured from the
direct line of sight. Existing NLOS imaging algorithms require dense measurements at …
direct line of sight. Existing NLOS imaging algorithms require dense measurements at …
Convolutional approximations to the general non-line-of-sight imaging operator
Abstract Non-line-of-sight (NLOS) imaging aims to reconstruct scenes outside the field of
view of an imaging system. A common approach is to measure the so-called light transients …
view of an imaging system. A common approach is to measure the so-called light transients …