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Non-line-of-sight (NLOS) imaging aims to reconstruct the three-dimensional hidden scenes from the data measured in the line-of-sight, which uses photon time-of-flight information encoded in light after multiple diffuse reflections. The…

计算机视觉与模式识别 · 计算机科学 2024-03-07 Rui Ding , Juntian Ye , Qifeng Gao , Feihu Xu , Yuping Duan

Non-line-of-sight (NLOS) imaging is based on capturing the multi-bounce indirect reflections from the hidden objects. Active NLOS imaging systems rely on the capture of the time of flight of light through the scene, and have shown great…

图像与视频处理 · 电气工程与系统科学 2022-04-19 Jiayong Peng , Fangzhou Mu , Ji Hyun Nam , Siddeshwar Raghavan , Yin Li , Andreas Velten , Zhiwei Xiong

There has been an increasing interest in deploying non-line-of-sight (NLOS) imaging systems for recovering objects behind an obstacle. Existing solutions generally pre-calibrate the system before scanning the hidden objects. Onsite…

图像与视频处理 · 电气工程与系统科学 2021-12-30 Zhengqing Pan , Ruiqian Li , Tian Gao , Zi Wang , Ping Liu , Siyuan Shen , Tao Wu , Jingyi Yu , Shiying Li

Existing time-resolved non-line-of-sight (NLOS) imaging methods reconstruct hidden scenes by inverting the optical paths of indirect illumination measured at visible relay surfaces. These methods are prone to reconstruction artifacts due to…

计算机视觉与模式识别 · 计算机科学 2023-09-27 Kiseok Choi , Inchul Kim , Dongyoung Choi , Julio Marco , Diego Gutierrez , Min H. Kim

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 rectangular grid points in a large area of the relay surface, which…

图像与视频处理 · 电气工程与系统科学 2023-06-21 Xintong Liu , Jianyu Wang , Leping Xiao , Zuoqiang Shi , Xing Fu , Lingyun Qiu

Non-Line-of-Sight (NLOS) imaging reconstructs the shape and depth of hidden objects from picosecond-resolved transient signals, offering potential applications in autonomous driving, security, and medical diagnostics. However, current NLOS…

Conventional imaging only records photons directly sent from the object to the detector, while non-line-of-sight (NLOS) imaging takes the indirect light into account. Most NLOS solutions employ a transient scanning process, followed by a…

计算机视觉与模式识别 · 计算机科学 2021-03-29 Dayu Zhu , Wenshan Cai

The recent years have given rise to a large number of techniques for "looking around corners", i.e., for reconstructing occluded objects from time-resolved measurements of indirect light reflections off a wall. While the direct view of…

图像与视频处理 · 电气工程与系统科学 2023-07-19 Jonathan Klein , Martin Laurenzis , Matthias B. Hullin , Julian Iseringhausen

Time-of-Flight non-line-of-sight (ToF NLOS) imaging techniques provide state-of-the-art reconstructions of scenes hidden around corners by inverting the optical path of indirect photons scattered by visible surfaces and measured by…

计算机视觉与模式识别 · 计算机科学 2026-03-11 Julio Marco , Adrian Jarabo , Ji Hyun Nam , Alberto Tosi , Diego Gutierrez , Andreas Velten

Imaging objects obscured by occluders is a significant challenge for many applications. A camera that could "see around corners" could help improve navigation and mapping capabilities of autonomous vehicles or make search and rescue…

计算机视觉与模式识别 · 计算机科学 2018-04-06 Felix Heide , Matthew O'Toole , Kai Zang , David Lindell , Steven Diamond , Gordon Wetzstein

The ability to form non-line-of-sight (NLOS) images of changing scenes could be transformative in a variety of fields, including search and rescue, autonomous vehicle navigation, and reconnaissance. Most existing active NLOS methods…

图像与视频处理 · 电气工程与系统科学 2026-03-12 Sheila Seidel , Hoover Rueda-Chacon , Iris Cusini , Federica Villa , Franco Zappa , Christopher Yu , Vivek K Goyal

Conventional intensity cameras recover objects in the direct line-of-sight of the camera, whereas occluded scene parts are considered lost in this process. Non-line-of-sight imaging (NLOS) aims at recovering these occluded objects by…

计算机视觉与模式识别 · 计算机科学 2019-04-09 Wenzheng Chen , Simon Daneau , Fahim Mannan , Felix Heide

We consider the non-line-of-sight (NLOS) imaging of an object using the light reflected off a diffusive wall. The wall scatters incident light such that a lens is no longer useful to form an image. Instead, we exploit the 4D spatial…

计算机视觉与模式识别 · 计算机科学 2022-12-06 Andre Beckus , Alexandru Tamasan , George K. Atia

Non-line-of-sight (NLOS) imaging of objects not visible to either the camera or illumination source is a challenging task with vital applications including surveillance and robotics. Recent NLOS reconstruction advances have been achieved…

图像与视频处理 · 电气工程与系统科学 2019-07-30 Sreenithy Chandran , Suren Jayasuriya

Non-line-of-sight (NLOS) imaging relies on collecting light that is rendered incoherent from the multiple scattering events and is then post-processed to provide an estimate of the hidden scene. Here we employ coherent phase control of the…

光学 · 物理学 2019-12-25 Ilya Starshynov , Omair Ghafur , James Fitches , Daniele Faccio

This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Computational imaging, especially non-line-of-sight (NLOS) imaging, the…

计算机视觉与模式识别 · 计算机科学 2026-04-01 Lianfang Wang , Kuilin Qin , Xueying Liu , Huibin Chang , Yong Wang , Yuping Duan

Non-Line-of-Sight (NLOS) imaging aims at recovering the 3D geometry of objects that are hidden from the direct line of sight. In the past, this method has suffered from the weak available multibounce signal limiting scene size, capture…

计算机视觉与模式识别 · 计算机科学 2022-02-01 Ji Hyun Nam , Eric Brandt , Sebastian Bauer , Xiaochun Liu , Eftychios Sifakis , Andreas Velten

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…

计算机视觉与模式识别 · 计算机科学 2017-06-21 Victor Arellano , Diego Gutierrez , Adrian Jarabo

Normal reconstruction is crucial in non-line-of-sight (NLOS) imaging, as it provides key geometric and lighting information about hidden objects, which significantly improves reconstruction accuracy and scene understanding. However, jointly…

计算机视觉与模式识别 · 计算机科学 2025-03-25 Xueying Liu , Lianfang Wang , Jun Liu , Yong Wang , Yuping Duan

Time-of-flight cameras provide depth information, which is complementary to the photometric appearance of the scene in ordinary images. It is desirable to merge the depth and colour information, in order to obtain a coherent scene…

计算机视觉与模式识别 · 计算机科学 2020-12-18 Miles Hansard , Georgios Evangelidis , Quentin Pelorson , Radu Horaud
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