Results 11 to 20 of about 81,206 (179)

Deep Non-Line-of-Sight Imaging Using Echolocation [PDF]

open access: yesSensors, 2022
Non-line-of-sight (NLOS) imaging is aimed at visualizing hidden scenes from an observer’s (e.g., camera) viewpoint. Typically, hidden scenes are reconstructed using diffused signals that emit light sources using optical equipment and are reflected ...
Seungwoo Jang   +2 more
doaj   +4 more sources

Non–line-of-sight imaging over 1.43 km [PDF]

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2021
Significance Non–line-of-sight (NLOS) imaging can recover details of a hidden scene from the indirect light that has scattered multiple times. Despite recent advances, NLOS imaging has remained at short-range verifications. Here, both experimental and conceptual innovations yield hardware and software solutions to increase NLOS imaging from ...
Cheng Wu, Jianjiang Liu, Xin Huang
exaly   +6 more sources

A Single-Shot Non-Line-of-Sight Range-Finder [PDF]

open access: yesSensors, 2019
The ability to locate a target around a corner is crucial in situations where it is impractical or unsafe to physically move around the obstruction. However, current techniques are limited to long acquisition times as they rely on single-photon counting ...
James Brooks, Daniele Faccio
doaj   +6 more sources

Non-line-of-sight imaging [PDF]

open access: yesNature Reviews Physics, 2020
Emerging single-photon-sensitive sensors combined with advanced inverse methods to process picosecond-accurate time-stamped photon counts have given rise to unprecedented imaging capabilities. Rather than imaging photons that travel along direct paths from a source to an object and back to the detector, non-line-of-sight (NLOS) imaging approaches ...
Daniele Faccio   +2 more
openaire   +4 more sources

Fast back-projection for non-line of sight reconstruction [PDF]

open access: yesACM SIGGRAPH 2017 Posters, 2017
Recent works have demonstrated non-line of sight (NLOS) reconstruction by using the time-resolved signal frommultiply scattered light. These works combine ultrafast imaging systems with computation, which back-projects the recorded space-time signal to build a probabilistic map of the hidden geometry. Unfortunately, this computation is slow, becoming a
Arellano, V., Gutierrez, D., Jarabo, A.
openaire   +9 more sources

Ultrasound synthetic aperture non-line-of-sight imaging [PDF]

open access: yesCommunications Physics
Non-line-of-sight (NLOS) imaging typically relies on the use of ultrashort laser pulses and time-resolved detection to then reconstruct 3D environments that are hidden from the direct line-of-sight.
Tailin Li   +6 more
doaj   +2 more sources

Non-line-of-Sight Imaging via Neural Transient Fields [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
We present a neural modeling framework for Non-Line-of-Sight (NLOS) imaging. Previous solutions have sought to explicitly recover the 3D geometry (e.g., as point clouds) or voxel density (e.g., within a pre-defined volume) of the hidden scene. In contrast, inspired by the recent Neural Radiance Field (NeRF) approach, we use a multi-layer perceptron ...
Zi Wang, Ping Liu
exaly   +4 more sources

A Line of Sight/Non Line of Sight Recognition Method Based on the Dynamic Multi-Level Optimization of Comprehensive Features [PDF]

open access: yesSensors
With the advent of the 5G era, high-precision localization based on mobile communication networks has become a research hotspot, playing an important role in indoor emergency rescue in shopping malls, smart factory management and tracking, as well as ...
Ziyao Ma   +5 more
doaj   +2 more sources

Non-line-of-sight Reconstruction Using Efficient Transient Rendering [PDF]

open access: yesACM Transactions on Graphics, 2020
Being able to see beyond the direct line of sight is an intriguing prospect and could benefit a wide variety of important applications. Recent work has demonstrated that time-resolved measurements of indirect diffuse light contain valuable information for reconstructing shape and reflectance properties of objects located around a corner.
Julian Iseringhausen, Matthias B Hullin
exaly   +3 more sources

Improving Non-Line-of-Sight Identification in Cellular Positioning Systems Using a Deep Autoencoding and Generative Adversarial Network Model [PDF]

open access: yesSensors
Positioning service is a critical technology that bridges the physical world with digital information, significantly enhancing efficiency and convenience in life and work.
Yanbiao Gao   +3 more
doaj   +2 more sources

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