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
J Wang, X Liu, L Xiao, Z Shi… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …
Weak non-line-of-sight target echoes extraction without accumulation
T Li, Y Luo, K Zhao, S Xia, Y Liu, H Ma, G Ren… - Optics Express, 2023 - opg.optica.org
Non-line-of-sight (NLOS) technology has been rapidly developed in recent years, allowing
us to visualize or localize hidden objects by analyzing the returned photons, which is …
us to visualize or localize hidden objects by analyzing the returned photons, which is …
Plug-and-Play Algorithms for Dynamic Non-line-of-sight Imaging
Non-line-of-sight (NLOS) imaging has the ability to recover 3D images of scenes outside the
direct line of sight, which is of growing interest for diverse applications. Despite the …
direct line of sight, which is of growing interest for diverse applications. Despite the …
Multi‐scale Iterative Model‐guided Unfolding Network for NLOS Reconstruction
Abstract Non‐line‐of‐sight (NLOS) imaging can reconstruct hidden objects by analyzing
diffuse reflection of relay surfaces, and is potentially used in autonomous driving, medical …
diffuse reflection of relay surfaces, and is potentially used in autonomous driving, medical …
Physics-constrained deep-inverse point spread function model: toward non-line-of-sight imaging reconstruction
S Wu, C Huang, J Lin, T Wang, S Zheng… - Advanced Photonics …, 2024 - spiedigitallibrary.org
Non-line-of-sight (NLOS) imaging has emerged as a prominent technique for reconstructing
obscured objects from images that undergo multiple diffuse reflections. This imaging method …
obscured objects from images that undergo multiple diffuse reflections. This imaging method …
Curvature regularization for non-line-of-sight imaging from under-sampled data
R Ding, J Ye, Q Gao, F Xu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Non-line-of-sight (NLOS) imaging aims to reconstruct the three-dimensional hidden scenes
by using time-of-flight photon information after multiple diffuse reflections. The under …
by using time-of-flight photon information after multiple diffuse reflections. The under …
Non-line-of-sight reconstruction via structure sparsity regularization
D Huang, Q Chen, Z Wei, R Chen - Optics Letters, 2023 - opg.optica.org
Non-line-of-sight (NLOS) imaging allows for the imaging of objects around a corner, which
enables potential applications in various fields, such as autonomous driving, robotic vision …
enables potential applications in various fields, such as autonomous driving, robotic vision …
Few-shot Non-line-of-sight Imaging with Signal-surface Collaborative Regularization
The non-line-of-sight imaging technique aims to reconstruct targets from multiply reflected
light. For most existing methods, dense points on the relay surface are raster scanned to …
light. For most existing methods, dense points on the relay surface are raster scanned to …
Enhancing active steady-state non-line-of-sight recognition via a guided generative adversarial framework
In this paper, we present an enhanced active steady-state non-line-of-sight (NLOS)
recognition solution that leverages a guided generative adversarial learning framework …
recognition solution that leverages a guided generative adversarial learning framework …