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Event-cameras have emerged as a revolutionary technology with a high temporal resolution that far surpasses standard active pixel cameras. This technology draws biological inspiration from photoreceptors and the initial retinal synapse.…

Computer Vision and Pattern Recognition · Computer Science 2024-12-09 Victoria Clerico , Shay Snyder , Arya Lohia , Md Abdullah-Al Kaiser , Gregory Schwartz , Akhilesh Jaiswal , Maryam Parsa

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

Event-based cameras are biologically inspired sensors that output events, i.e., asynchronous pixel-wise brightness changes in the scene. Their high dynamic range and temporal resolution of a microsecond makes them more reliable than…

Robotics · Computer Science 2021-07-13 Antea Hadviger , Igor Cvišić , Ivan Marković , Sacha Vražić , Ivan Petrović

Object pose tracking is a fundamental and essential task for robotics to perform tasks in the home and industrial settings. The most commonly used sensors to do so are RGB-D cameras, which can hit limitations in highly dynamic environments…

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 Zhichao Li , Chiara Bartolozzi , Lorenzo Natale , Arren Glover

Event-based vision, inspired by the human visual system, offers transformative capabilities such as low latency, high dynamic range, and reduced power consumption. This paper presents a comprehensive survey of event cameras, tracing their…

Computer Vision and Pattern Recognition · Computer Science 2024-08-28 Bharatesh Chakravarthi , Aayush Atul Verma , Kostas Daniilidis , Cornelia Fermuller , Yezhou Yang

Event camera is an emerging imaging sensor for capturing dynamics of moving objects as events, which motivates our work in estimating 3D human pose and shape from the event signals. Events, on the other hand, have their unique challenges:…

Computer Vision and Pattern Recognition · Computer Science 2021-08-17 Shihao Zou , Chuan Guo , Xinxin Zuo , Sen Wang , Pengyu Wang , Xiaoqin Hu , Shoushun Chen , Minglun Gong , Li Cheng

Event cameras are a cutting-edge type of visual sensors that capture data by detecting brightness changes at the pixel level asynchronously. These cameras offer numerous benefits over conventional cameras, including high temporal…

Multimedia · Computer Science 2024-11-12 Ahmadreza Sezavar , Catarina Brites , Joao Ascenso

Event cameras are bio-inspired, motion-activated sensors that demonstrate substantial potential in handling challenging situations, such as motion blur and high-dynamic range. In this paper, we proposed EVI-SAM to tackle the problem of 6…

Computer Vision and Pattern Recognition · Computer Science 2024-05-24 Weipeng Guan , Peiyu Chen , Huibin Zhao , Yu Wang , Peng Lu

Neuromorphic "event" cameras, designed to mimic the human vision system with asynchronous sensing, unlock a new realm of high-speed and high dynamic range applications. However, researchers often either revert to a framed representation of…

Computer Vision and Pattern Recognition · Computer Science 2023-12-14 Andrew C. Freeman , Montek Singh , Ketan Mayer-Patel

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have a very high dynamic range, which enables them to provide…

Computer Vision and Pattern Recognition · Computer Science 2018-04-06 Antoni Rosinol Vidal , Henri Rebecq , Timo Horstschaefer , Davide Scaramuzza

Event-based cameras (ECs) are bio-inspired sensors that asynchronously report brightness changes for each pixel. Due to their high dynamic range, pixel bandwidth, temporal resolution, low power consumption, and computational simplicity,…

Robotics · Computer Science 2022-07-26 Seyed Ehsan Marjani Bajestani , Giovanni Beltrame

Slow-motion replays provide a thrilling perspective on pivotal moments within sports games, offering a fresh and captivating visual experience. However, capturing slow-motion footage typically demands high-tech, expensive cameras and…

Computer Vision and Pattern Recognition · Computer Science 2024-07-04 Antoine Deckyvere , Anthony Cioppa , Silvio Giancola , Bernard Ghanem , Marc Van Droogenbroeck

Unlike standard cameras that send intensity images at a constant frame rate, event-driven cameras asynchronously report pixel-level brightness changes, offering low latency and high temporal resolution (both in the order of micro-seconds).…

Computer Vision and Pattern Recognition · Computer Science 2021-06-30 Valentina Vasco , Arren Glover , Elias Mueggler , Davide Scaramuzza , Lorenzo Natale , Chiara Bartolozzi

Event-based cameras are bio-inspired sensors with pixels that independently and asynchronously respond to brightness changes at microsecond resolution, offering the potential to handle visual tasks in high-speed maneuvering scenarios.…

Event-based cameras are bio-inspired novel sensors that asynchronously record changes in illumination in the form of events, thus resulting in significant advantages over conventional cameras in terms of low power utilization, high dynamic…

Machine Learning · Statistics 2020-02-18 Lakshmi Annamalai , Anirban Chakraborty , Chetan Singh Thakur

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

The underwater domain presents a vast array of challenges for roboticists and computer vision researchers alike, such as poor lighting conditions and high dynamic range scenes. In these adverse conditions, traditional vision techniques…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Hitesh Kyatham , Arjun Suresh , Aadi Palnitkar , Yiannis Aloimonos

Event cameras are bio-inspired sensors that offer several advantages, such as low latency, high-speed and high dynamic range, to tackle challenging scenarios in computer vision. This paper presents a solution to the problem of 3D…

Computer Vision and Pattern Recognition · Computer Science 2019-01-21 Yi Zhou , Guillermo Gallego , Henri Rebecq , Laurent Kneip , Hongdong Li , Davide Scaramuzza

Event cameras triggered a paradigm shift in the computer vision community delineated by their asynchronous nature, low latency, and high dynamic range. Calibration of event cameras is always essential to account for the sensor intrinsic…

Computer Vision and Pattern Recognition · Computer Science 2024-11-26 Mohammed Salah , Abdulla Ayyad , Muhammad Humais , Daniel Gehrig , Abdelqader Abusafieh , Lakmal Seneviratne , Davide Scaramuzza , Yahya Zweiri

Event cameras are bio-inspired vision sensors which measure per pixel brightness changes. They offer numerous benefits over traditional, frame-based cameras, including low latency, high dynamic range, high temporal resolution and low power…

Computer Vision and Pattern Recognition · Computer Science 2021-08-18 Simon Klenk , Jason Chui , Nikolaus Demmel , Daniel Cremers
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