Hardware analysis for motion estimation task

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. (C) 2022 Optica Publishing Group

Automated summary

This work introduces hardware metrics to evaluate the ability of an imaging sensor (camera) to handle temporal change. By focusing on parameters such as sampling frequency, signal to noise ratio, rolling shutter, and modulation transfer function, the quality of motion sensing can be evaluated and compared. The study also examines existing hardware used in modern equipment and presents findings.