Hardware analysis for motion estimation task

Khen Cohen, Gal Hodeda, Emmanuel Almog, Dan Raviv, David Mendlovic

Research output: Contribution to journalArticlepeer-review

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. We further examine our theory on existing hardware used in modern equipment and report our findings.

Original languageEnglish
Pages (from-to)4303-4314
Number of pages12
JournalApplied Optics
Volume61
Issue number15
DOIs
StatePublished - 20 May 2022

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