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Event cameras capture changes of illumination in the observed scene rather than accumulating light to create images. Thus, they allow for applications under high-speed motion and complex lighting conditions, where traditional framebased…

Computer Vision and Pattern Recognition · Computer Science 2021-12-21 Vincent Brebion , Julien Moreau , Franck Davoine

Non-line-of-sight (NLOS) optical imaging and sensing of objects imply new capabilities valuable to autonomous technology, machine vision, and other applications. Existing NLOS imaging methods rely heavily on the prowess of computational…

Optics · Physics 2022-07-21 Shenyu Zhu , Yong Meng Sua , Patrick Rehain , Yu-Ping Huang

Non-line-of-sight (NLOS) imaging is conducted to infer invisible scenes from indirect light on visible objects. The neural transient field (NeTF) was proposed for representing scenes as neural radiance fields in NLOS scenes. We propose NLOS…

Computer Vision and Pattern Recognition · Computer Science 2023-08-02 Yuki Fujimura , Takahiro Kushida , Takuya Funatomi , Yasuhiro Mukaigawa

Efficient exploration and mapping in unknown indoor environments is a fundamental challenge, with high stakes in time-critical settings. In current systems, robot perception remains confined to line-of-sight; occluded regions remain unknown…

Robotics · Computer Science 2025-10-14 Kush Garg , Akshat Dave

Non-line-of-Sight (NLOS) imaging systems collect light at a diffuse relay surface and input this measurement into computational algorithms that output a 3D volumetric reconstruction. These algorithms utilize the Fast Fourier Transform (FFT)…

Image and Video Processing · Electrical Eng. & Systems 2025-01-14 Talha Sultan , Alex Bocchieri , Chaoying Gu , Xiaochun Liu , Pavel Polynkin , Andreas Velten

This paper presents a novel optimization-based method for non-line-of-sight (NLOS) imaging that aims to reconstruct hidden scenes under general setups with significantly reduced reconstruction time. In NLOS imaging, the visible surfaces of…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Hyunbo Shim , In Cho , Daekyu Kwon , Seon Joo Kim

Neuromorphic vision or event vision is an advanced vision technology, where in contrast to the visible camera that outputs pixels, the event vision generates neuromorphic events every time there is a brightness change which exceeds a…

Computer Vision and Pattern Recognition · Computer Science 2023-01-11 Waseem Shariff , Muhammad Ali Farooq , Joe Lemley , Peter Corcoran

Event vision sensors (neuromorphic cameras) output sparse, asynchronous ON/OFF events triggered by log-intensity threshold crossings, enabling microsecond-scale sensing with high dynamic range and low data bandwidth. As a nonlinear system,…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Nimrod Kruger , Nicholas Owen Ralph , Gregory Cohen , Paul Hurley

Non-line-of-sight imaging has attracted more attentions for its wide applications.Even though ultrasensitive cameras or detectors with high time-resolution are available, current back-projection methods are still powerless to acquire a…

Image and Video Processing · Electrical Eng. & Systems 2018-08-15 Chenfei Jin , Jiaheng Xie , Siqi Zhang , Zijing Zhang , Yuan Zhao

Event cameras are bio-inspired sensors with some notable features, including high dynamic range and low latency, which makes them exceptionally suitable for perception in challenging scenarios such as high-speed motion and extreme lighting…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Kuangyi Chen , Jun Zhang , Friedrich Fraundorfer

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…

Computer Vision and Pattern Recognition · Computer Science 2026-03-11 Julio Marco , Adrian Jarabo , Ji Hyun Nam , Alberto Tosi , Diego Gutierrez , Andreas Velten

Neuromorphic, or event, cameras represent a transformation in the classical approach to visual sensing encodes detected instantaneous per-pixel illumination changes into an asynchronous stream of event packets. Their novelty compared to…

Computer Vision and Pattern Recognition · Computer Science 2025-04-14 Claudio Cimarelli , Jose Andres Millan-Romera , Holger Voos , Jose Luis Sanchez-Lopez

Non-line-of-sight (NLOS) imaging enables monitoring around corners and is promising for diverse applications. The resolution of transient NLOS imaging is limited to a centimeter scale, mainly by the temporal resolution of the detectors.…

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…

Optics · Physics 2019-12-25 Ilya Starshynov , Omair Ghafur , James Fitches , Daniele Faccio

Neuromorphic (event-based) image sensors draw inspiration from the human-retina to create an electronic device that can process visual stimuli in a way that closely resembles its biological counterpart. These sensors process information…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Shay Snyder , Hunter Thompson , Md Abdullah-Al Kaiser , Gregory Schwartz , Akhilesh Jaiswal , Maryam Parsa

The advent of event-based cameras, with their low latency, high dynamic range, and reduced power consumption, marked a turning point in machine perception and robotic vision. In~particular, the combination of these neuromorphic sensors with…

Robotics · Computer Science 2026-05-28 Nafiseh Jabbari Tofighi , Maxime Robic , Fabio Morbidi , Pascal Vasseur

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…

Image and Video Processing · Electrical Eng. & Systems 2021-12-30 Zhengqing Pan , Ruiqian Li , Tian Gao , Zi Wang , Ping Liu , Siyuan Shen , Tao Wu , Jingyi Yu , Shiying Li

As an alternative sensing paradigm, dynamic vision sensors (DVS) have been recently explored to tackle scenarios where conventional sensors result in high data rate and processing time. This paper presents a hybrid event-frame approach for…

Computer Vision and Pattern Recognition · Computer Science 2022-05-11 Vivek Mohan , Deepak Singla , Tarun Pulluri , Andres Ussa , Pradeep Kumar Gopalakrishnan , Pao-Sheng Sun , Bharath Ramesh , Arindam Basu

Non-line-of-sight reconstruction (NLoS) is a novel indirect imaging modality that aims to recover objects or scene parts outside the field of view from measurements of light that is indirectly scattered off a directly visible, diffuse wall.…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Javier Grau , Markus Plack , Patrick Haehn , Michael Weinmann , Matthias Hullin

Real time, high resolution 3D reconstruction of scenes hidden from the direct field of view is a challenging field of research with applications in real-life situations related e.g. to surveillance, self-driving cars and rescue missions.…

Optics · Physics 2019-07-24 G. Musarra , A. Lyons , E. Conca , Y. Altmann , F. Villa , F. Zappa , M. J. Padgett , D. Faccio