Hardware analysis for motion estimation task.
Journal
Applied optics
ISSN: 1539-4522
Titre abrégé: Appl Opt
Pays: United States
ID NLM: 0247660
Informations de publication
Date de publication:
20 May 2022
20 May 2022
Historique:
entrez:
18
10
2022
pubmed:
19
10
2022
medline:
21
10
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 36256267
pii: 472789
doi: 10.1364/AO.453945
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM