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Related papers: Shining light on the DVS pixel: A tutorial and dis…

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Recently, Dynamic Vision Sensors (DVSs) sparked a lot of interest due to their inherent advantages over conventional RGB cameras. These advantages include a low latency, a high dynamic range and a low energy consumption. Nevertheless, the…

Computer Vision and Pattern Recognition · Computer Science 2024-01-05 Katharina Bendig , René Schuster , Didier Stricker

Recent surveys monitoring millions of light curves of resolved stars in the LMC have discovered several microlensing events. Unresolved stars could however significantly contribute to the microlensing rate towards the LMC. Monitoring…

Astrophysics · Physics 2009-10-30 A. -L. Melchior

Event cameras like Dynamic Vision Sensors (DVS) report micro-timed brightness changes instead of full frames, offering low latency, high dynamic range, and motion robustness. DVS-PedX (Dynamic Vision Sensor Pedestrian eXploration) is a…

Computer Vision and Pattern Recognition · Computer Science 2025-09-05 Mustafa Sakhai , Kaung Sithu , Min Khant Soe Oke , Maciej Wielgosz

This paper lays the foundation of a theory for bias tuning in neuromorphic cameras, a novel sensing technology also known as "event cameras". We begin by formulating the high-level effect of the sensitivity biases on the camera's event rate…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 David El-Chai Ben-Ezra , Daniel Brisk , Adar Tal

We introduce a novel method to automatically adjust camera exposure for image processing and computer vision applications on mobile robot platforms. Because most image processing algorithms rely heavily on low-level image features that are…

Computer Vision and Pattern Recognition · Computer Science 2018-06-14 Inwook Shim , Tae-Hyun Oh , Joon-Young Lee , Jinwook Choi , Dong-Geol Choi , In So Kweon

As vision based perception methods are usually built on the normal light assumption, there will be a serious safety issue when deploying them into low light environments. Recently, deep learning based methods have been proposed to enhance…

Computer Vision and Pattern Recognition · Computer Science 2020-10-21 Junjie Hu , Xiyue Guo , Junfeng Chen , Guanqi Liang , Fuqin Deng , Tin lun Lam

Real-world low-light images captured by imaging devices suffer from poor visibility and require a domain-specific enhancement to produce artifact-free outputs that reveal details. In this paper, we propose an unpaired low-light image…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Aupendu Kar , Sobhan K. Dhara , Debashis Sen , Prabir K. Biswas

A minimalist vision system uses the smallest number of pixels needed to solve a vision task. While traditional cameras use a large grid of square pixels, a minimalist camera uses freeform pixels that can take on arbitrary shapes to increase…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Jeremy Klotz , Shree K. Nayar

We study the nano- and micro-structures that increase the optical efficiency of the CMOS image pixels in visible and infrared. We consider the difference between the micro-holes at the pixels' bottom and the top and the holes that are…

Optical phased arrays are of strong interest for beam steering in telecom and LIDAR applications. A phased array ideally requires that the field produced by each element in the array (a pixel) is fully controllable in phase and amplitude…

Signal Processing · Electrical Eng. & Systems 2020-11-10 Antonio Cala' Lesina , Dominic Goodwill , Eric Bernier , Lora Ramunno , Pierre Berini

We demonstrated a CMOS imaging system that adapts each pixel's exposure and sampling rate to capture high dynamic range (HDR) videos. The system consist of a custom designed image sensor with pixel-wise exposure configurability and a…

Image and Video Processing · Electrical Eng. & Systems 2019-06-25 Jie , Zhang , Jonathan P. Newman , Xiao Wang , Chetan Singh Thakur , John Rattray , Ralph Etienne-Cummings , Matthew A. Wilson

Recognizing, assessing, countering, and mitigating the biases of different nature from heterogeneous sources is a critical problem in designing a cognitive Decision Support System (DSS). An example of such a system is a cognitive…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Kenneth Lai , Helder C. R. Oliveira , Ming Hou , Svetlana N. Yanushkevich , Vlad Shmerko

Biologically inspired event-based vision sensors (EVS) are growing in popularity due to performance benefits including ultra-low power consumption, high dynamic range, data sparsity, and fast temporal response. They efficiently encode…

Image and Video Processing · Electrical Eng. & Systems 2024-04-12 Brian McReynolds , Rui Graca , Lucas Kulesza , Peter McMahon-Crabtree

In practice, and especially when training deep neural networks, visual recognition rules are often learned based on various sources of information. On the other hand, the recent deployment of facial recognition systems with uneven…

Computer Vision and Pattern Recognition · Computer Science 2022-11-02 Stephan Clémençon , Pierre Laforgue , Robin Vogel

While the LED panels used in virtual production systems can display vibrant imagery with a wide color gamut, they produce problematic color shifts when used as lighting due to their peaky spectral output from narrow-band red, green, and…

Computer Vision and Pattern Recognition · Computer Science 2022-07-05 Chloe LeGendre , Lukas Lepicovsky , Paul Debevec

Event-based vision sensors produce an asynchronous stream of events which are triggered when the pixel intensity variation exceeds a predefined threshold. Such sensors offer significant advantages, including reduced data redundancy,…

Computer Vision and Pattern Recognition · Computer Science 2024-08-26 Valery Vishnevskiy , Greg Burman , Sebastian Kozerke , Diederik Paul Moeys

Variable-bitrate video streaming is ubiquitous in video surveillance and CCTV, enabling high-quality video streaming while conserving network bandwidth. However, as the name suggests, variable-bitrate IP cameras can generate sharp traffic…

Cryptography and Security · Computer Science 2025-02-06 Emmanuel Goldberg , Oleg Brodt , Aviad Elyashar , Rami Puzis

Based on the observation that application phases exhibit varying degrees of sensitivity to noise (i.e., accuracy loss) in computation during execution, this paper explores how Dynamic Precision Scaling (DPS) can maximize power efficiency by…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-20 Serif Yesil , Ismail Akturk , Ulya R. Karpuzcu

We introduce Delta Denoising Score (DDS), a novel scoring function for text-based image editing that guides minimal modifications of an input image towards the content described in a target prompt. DDS leverages the rich generative prior of…

Computer Vision and Pattern Recognition · Computer Science 2023-04-17 Amir Hertz , Kfir Aberman , Daniel Cohen-Or

Event-based camera is a bio-inspired vision sensor that records intensity changes (called event) asynchronously in each pixel. As an instance of event-based camera, Dynamic and Active-pixel Vision Sensor (DAVIS) combines a standard camera…

Computer Vision and Pattern Recognition · Computer Science 2019-04-29 Yuhu Guo , Han Xiao , Yidong Chen , Xiaodong Shi