For academic use only.

Updata

Update, please download the 'update' file and do a replacement (warpingBlur2If.p, fromIf2Ivideo.p, event2video_final.p).
Especially for those who would like to use their own dataset, please update files and choose option '1' if the dataset has a short exposure time.

If the image/video is sharp, please let I (main_video2.m, Line55) be the input image.

Prepare matlab code

1. Download the data and put them to 'data' file
2. Chose the data name and saving name;
3. run rawdata2matlab(inputname,outputname); (e.g. rawdata2matlab('../data/rotatevideonew2_6.aedat','../data/rotatevideonew2_6/');)

Reconstruct high frame rate video

1. Chose the data name and saving name;
2. Please run: event_cvpr_github/read_data/main_video2.m
3. Change some options that can help to avoide noise.

There are a few parameters need to be specified by users.

Kernel estimation part:

1. 'option' : 2 for avoide flickering noise
2. 'dnoise' : 1 for bilateral_filter to denoise
3. 't_shift' : In our real event data, the time shift is '-0.02' or '-0.04'
4. 'v_length' : The length of the reconstructed video
5. 'lambda' : In file './EDI/TVnorm.m'

Note

1. For pursuing better result when using your own dataset, please try with slightly changed parameters. (e.g. 't_shift', 'v_length', 'exptime', and 'lambda') Make sure that there have enough events during each time interval (interval here means the time between the neighbouring frames in our reconstructed video).

2. Should you have any questions regarding this code and the corresponding results, please contact [email protected]

CVPR-video

https://drive.google.com/file/d/1NscnUF2QxK0of4ZW7T8kneJTH1X76l2u/view?usp=sharing

Data

https://drive.google.com/file/d/1s-PR7GxpCAIB20hu7F3BlbXdUi4c9UAo/view

Publications

1. https://openaccess.thecvf.com/content_CVPR_2019/html/Pan_Bringing_a_Blurry_Frame_Alive_at_High_Frame-Rate_With_an_CVPR_2019_paper.html

@inproceedings{pan2019bringing,  
  title={Bringing a blurry frame alive at high frame-rate with an event camera}, 
  author={Pan, Liyuan and Scheerlinck, Cedric and Yu, Xin and Hartley, Richard and Liu, Miaomiao and Dai, Yuchao},      
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},  
  pages={6820--6829},    
  year={2019}  
}

2. https://ieeexplore.ieee.org/abstract/document/9252186

@article{pan2020high,   
  title={High frame rate video reconstruction based on an event camera},   
  author={Pan, Liyuan and Hartley, Richard and Scheerlinck, Cedric and Liu, Miaomiao and Yu, Xin and Dai, Yuchao},      
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},    
  year={2020},  
  publisher={IEEE}   
}