Lagrangian Motion Magnification with on Faces with Facial Landmarks

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

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}
}