Skip to content

phflot/momag

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Lagrangian Motion Magnification with on Faces with Facial Landmarks

The implementation of sparse PCA-based, selective motion magnification can be found here.

Fig1

Requirements

Setup anaconda via conda env create -f environment.yml. To reproduce the demo recording, the file EP04_04f.avi from the CASME II microexpression dataset is required.

Citation

If you use this code for your work, please cite

P. Flotho, C. Heiss, G. Steidl, and D. J. Strauss, “Lagrangian Motion Magnification with Landmark-Prior and Sparse PCA for Facial Microexpressions and Micromovements,” in Annu Int Conf IEEE Eng Med Biol Soc, 2022.

BibTeX entry

@inproceedings{flotea2022b,
  author = {Flotho, P. and Heiss, C. and Steidl, G. and Strauss, D.J.},
  title = {Lagrangian Motion Magnification with Landmark-Prior and Sparse PCA for Facial Microexpressions and Micromovements (accepted)},
  booktitle = {Annu Int Conf IEEE Eng Med Biol Soc},
  year = {2022}
}

About

Motion magnification with facial landmarks

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages