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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 …
[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 …
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 …
Physics to the rescue: Deep non-line-of-sight reconstruction for high-speed imaging
Computational approach to imaging around the corner, or non-line-of-sight (NLOS) imaging,
is becoming a reality thanks to major advances in imaging hardware and reconstruction …
is becoming a reality thanks to major advances in imaging hardware and reconstruction …
Non-line-of-sight imaging via neural transient fields
We present a neural modeling framework for non-line-of-sight (NLOS) imaging. Previous
solutions have sought to explicitly recover the 3D geometry (eg, as point clouds) or voxel …
solutions have sought to explicitly recover the 3D geometry (eg, as point clouds) or voxel …
Deep non-line-of-sight imaging from under-scanning measurements
Active confocal non-line-of-sight (NLOS) imaging has successfully enabled seeing around
corners relying on high-quality transient measurements. However, acquiring spatial-dense …
corners relying on high-quality transient measurements. However, acquiring spatial-dense …
Non-line-of-sight imaging with signal superresolution network
Abstract Non-line-of-sight (NLOS) imaging aims at reconstructing the location, shape,
albedo, and surface normal of the hidden object around the corner with measured transient …
albedo, and surface normal of the hidden object around the corner with measured transient …
Neural volumetric reconstruction for coherent synthetic aperture sonar
Synthetic aperture sonar (SAS) measures a scene from multiple views in order to increase
the resolution of reconstructed imagery. Image reconstruction methods for SAS coherently …
the resolution of reconstructed imagery. Image reconstruction methods for SAS coherently …
Compressed sensing for active non-line-of-sight imaging
Non-line-of-sight (NLOS) imaging techniques have the ability to look around corners, which
is of growing interest for diverse applications. We explore compressed sensing in active …
is of growing interest for diverse applications. We explore compressed sensing in active …