Measuring Natural Scenes SFR of Automotive Fisheye Cameras

Autor:	Jakab, Daniel, Grua, Eoin Martino, Deegan, Brian Micheal, Scanlan, Anthony, Van De Ven, Pepijn, Eising, Ciarán
Rok vydání:	2024
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	The Modulation Transfer Function (MTF) is an important image quality metric typically used in the automotive domain. However, despite the fact that optical quality has an impact on the performance of computer vision in vehicle automation, for many public datasets, this metric is unknown. Additionally, wide field-of-view (FOV) cameras have become increasingly popular, particularly for low-speed vehicle automation applications. To investigate image quality in datasets, this paper proposes an adaptation of the Natural Scenes Spatial Frequency Response (NS-SFR) algorithm to suit cameras with a wide field-of-view. Comment: Accepted for publication in the Electronic Imagine Autonomous Vehicles and Machines (EI-AVM) Conference 2024
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2401.05232 Zobrazit plný text záznamu View this record from Arxiv