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[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 …
Computational imaging and artificial intelligence: The next revolution of mobile vision
Signal capture is at the forefront of perceiving and understanding the environment; thus,
imaging plays a pivotal role in mobile vision. Recent unprecedented progress in artificial …
imaging plays a pivotal role in mobile vision. Recent unprecedented progress in artificial …
Passive non-line-of-sight imaging using optimal transport
Passive non-line-of-sight (NLOS) imaging has drawn great attention in recent years.
However, all existing methods are in common limited to simple hidden scenes, low-quality …
However, all existing methods are in common limited to simple hidden scenes, low-quality …
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 …
Enhancing non-line-of-sight imaging via learnable inverse kernel and attention mechanisms
Recovering information from non-line-of-sight (NLOS) imaging is a computationally-
intensive inverse problem. Most physics-based NLOS imaging methods address the …
intensive inverse problem. Most physics-based NLOS imaging methods address the …
Seeing around corners with edge-resolved transient imaging
Abstract Non-line-of-sight (NLOS) imaging is a rapidly growing field seeking to form images
of objects outside the field of view, with potential applications in autonomous navigation …
of objects outside the field of view, with potential applications in autonomous navigation …
Imaging privacy threats from an ambient light sensor
Embedded sensors in smart devices pose privacy risks, often unintentionally leaking user
information. We investigate how combining an ambient light sensor with a device display …
information. We investigate how combining an ambient light sensor with a device display …
Learning to Enhance Aperture Phasor Field for Non-Line-of-Sight Imaging
This paper aims to facilitate more practical NLOS imaging by reducing the number of
samplings and scan areas. To this end, we introduce a phasor-based enhancement network …
samplings and scan areas. To this end, we introduce a phasor-based enhancement network …
Fast non-line-of-sight imaging with non-planar relay surfaces
Non-line-of-sight imaging methods reconstruct images from light captured off a relay surface.
In most prior work this relay surface is a diffuse plane. It has been shown that even small …
In most prior work this relay surface is a diffuse plane. It has been shown that even small …
Isolating signals in passive non-line-of-sight imaging using spectral content
In real-life passive non-line-of-sight (NLOS) imaging there is an overwhelming amount of
undesired scattered radiance, called clutter, that impedes reconstruction of the desired …
undesired scattered radiance, called clutter, that impedes reconstruction of the desired …