Finding the Least Motion-Blurred Image by Reusing Early Features of Object Detection Network

Finding the Least Motion-Blurred Image by Reusing Early Features of Object Detection Network

Taking smartphone-made videos for photogrammetry is a convenient approach because of the easy image collection process for the object being reconstructed. However, the video may contain a lot of relatively similar frames. Additionally, frames may be of different quality. The primary source of qualit...

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Bibliographic Details
Main Authors: Mantas Tamulionis, Tomyslav Sledevič, Vytautas Abromavičius, Dovilė Kurpytė-Lipnickė, Dalius Navakauskas, Artūras Serackis, Dalius Matuzevičius
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
motion blur evaluation
image quality
3D head reconstruction
close-range photogrammetry
videogrammetry
smartphone-based photogrammetry
Online Access:https://www.mdpi.com/2076-3417/13/3/1264

Internet

https://www.mdpi.com/2076-3417/13/3/1264

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