تقرير
Measuring Natural Scenes SFR of Automotive Fisheye Cameras
| العنوان: | Measuring Natural Scenes SFR of Automotive Fisheye Cameras |
|---|---|
| المؤلفون: | Jakab, Daniel, Grua, Eoin Martino, Deegan, Brian Micheal, Scanlan, Anthony, Van De Ven, Pepijn, Eising, Ciarán |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | 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 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2401.05232 |
| رقم الأكسشن: | edsarx.2401.05232 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |