@inproceedings{417303586bb94ec29508217def73f649,
title = "A neural motion deblurring approach to restore rich textures for visual SLAM",
abstract = "In this paper, we present a sequential video deblurring method based on a spatio-temporal recurrent network for visual SLAM. The method can be applied to any SLAM systems to make sure continuous localization even with blurred images. The quality of the deblurring method is evaluated on real-world problems: Feature points extraction and SLAM, which prove the method can significantly improve the performance of tracking accuracy especially in some severe cases containing strong camera shake or fast motion.",
keywords = "Deblur, Motion blur, SLAM",
author = "Guojing Jin and Jing Chen and Jingyao Wang and Yongtian Wang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 ; Conference date: 23-03-2019 Through 27-03-2019",
year = "2019",
month = mar,
doi = "10.1109/VR.2019.8797745",
language = "English",
series = "26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "996--997",
booktitle = "26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings",
address = "United States",
}