Measuring Natural Scenes SFR of Automotive Fisheye Cameras

• URL: http://arxiv.org/abs/2401.05232v1
• Date: Wed, 10 Jan 2024 15:59:59 GMT
• Title: Measuring Natural Scenes SFR of Automotive Fisheye Cameras
• Authors: Daniel Jakab, Eoin Martino Grua, Brian Micheal Deegan, Anthony Scanlan, Pepijn Van De Ven, and Ciar\'an Eising
• Abstract summary: The Modulation Transfer Function (MTF) is an important image quality metric typically used in the automotive domain. Wide field-of-view (FOV) cameras have become increasingly popular, particularly for low-speed vehicle automation applications. This paper proposes an adaptation of the Natural Scenes Spatial Frequency Response (NS-SFR) algorithm to suit cameras with a wide field-of-view.
• Score: 0.30786914102688595
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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