Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by David Mendlovic
Temporal Super-Resolution Using a Multi-Channel Illumination Source
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Illumination-Based Color Reconstruction for the Dynamic Vision Sensor
1. Introduction The majority of image sensors used nowadays are composed of CCD and CMOS image sensors [1]. When using these sensors, a simple composition of still images is taken at a predetermined frame rate, to create a video. This approach has several shortcomings; one such problem is data redundancy—each new frame contains information about all pixels, regardless of whether this information is new or not. Handling this unnecessary information wastes memory, power, and bandwidth [2].
[2306.13907] Person Recognition using Facial Micro-Expressions with Deep Learning
arXiv:2306.13907 (cs) Download a PDF of the paper titled Person Recognition using Facial Micro-Expressions with Deep Learning, by Tuval Kay and 4 other authors Download PDF Submission history From: Yuval Ringel [ view email] [v1] Sat, 24 Jun 2023 08:57:15 UTC (476 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Links to Code Toggle...
Hardware analysis for motion estimation task
Abstract This work introduces hardware metrics to evaluate imaging sensor (camera) ability to cope with temporal change (motion). Shifting from images towards moving elements demands better tools for evaluation than just refresh rate, and this work is here to close that gap. We focus on the sampling frequency, signal to noise ratio, rolling shutter, and modulation transfer function as a set of parameters to define four fundamental conditions to evaluate and compare the quality of motion sensing.
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with David
Contact David, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack