Measuring Natural Scenes SFR of Automotive Fisheye Cameras

Fuente: arXiv
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Hauptverfasser: Jakab, Daniel, Grua, Eoin Martino, Deegan, Brian Micheal, Scanlan, Anthony, Van De Ven, Pepijn, Eising, Ciarán
Format: Preprint
Veröffentlicht: 2024
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author Jakab, Daniel
Grua, Eoin Martino
Deegan, Brian Micheal
Scanlan, Anthony
Van De Ven, Pepijn
Eising, Ciarán
author_facet Jakab, Daniel
Grua, Eoin Martino
Deegan, Brian Micheal
Scanlan, Anthony
Van De Ven, Pepijn
Eising, Ciarán
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2401_05232
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Measuring Natural Scenes SFR of Automotive Fisheye Cameras
Jakab, Daniel
Grua, Eoin Martino
Deegan, Brian Micheal
Scanlan, Anthony
Van De Ven, Pepijn
Eising, Ciarán
Computer Vision and Pattern Recognition
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.
title Measuring Natural Scenes SFR of Automotive Fisheye Cameras
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2401.05232