Please dowdload all code from baidudisk_link********
"""""""""""" 链接：https://pan.baidu.com/s/1Gi3FYbXspVU98srzbzrcvQ?pwd=52zb 提取码：52zb """"""""""""""""""""
This repository contains the source code implementation for our paper titled "Real-Time Video Stabilization Algorithm Based on SuperPoint." The paper presents an efficient algorithm for stabilizing shaky videos by leveraging SuperPoint feature points.
Important Notes Please note that this repository is not a direct replica of the version described in the paper. We have made enhancements and included new features such as alike and zippypoint for extracting image features. Additionally, we have incorporated dense optical flow, pwcnet, and liteflownet for tracking the movement of feature points. Furthermore, LSTM is utilized to smoothen the camera path. However, please be advised that this repository is still under development, and some functionalities may not be fully complete.
Notice: Other stablization Method:DUT,FuSta,PWStablenet,Stabnet and Deep3D is In this link:通过百度网盘分享的文件：稳像方法.zip 链接：https://pan.baidu.com/s/1lMLTJEkEM7vyP1yH01Li1Q?pwd=vr5b 提取码：vr5b --来自百度网盘超级会员V5的分享，you can also send e-mail to ask them!
Usage Scope This code is solely intended for academic research purposes and is strictly prohibited from being used for any commercial or non-academic endeavors.
Contributions and Feedback If you encounter any issues while using this repository or wish to contribute improvements, please feel free to contact us via email or through GitHub issues. We welcome any feedback and suggestions.
Copyright Notice All content in this repository is protected by copyright laws. Unauthorized duplication, distribution, or commercial use is strictly prohibited. By using this repository, you agree to abide by the terms stated above.
Citation Instructions If you find this code useful for your research, please cite our paper as follows:
@article{Liu_Wan_Bai_Kong_Tang_Wang_2024,
title={Real-Time Video Stabilization Algorithm Based on SuperPoint},
volume={73},
DOI={10.1109/tim.2023.3342849},
journal={IEEE Transactions on Instrumentation and Measurement},
author={Liu, Tao and Wan, Gang and Bai, Hongyang and Kong, Xiaofang and Tang, Bo and Wang, Fangyi},
year={2024},
month={Jan},
pages={1–13},
language={English}
}