Created by Yuval Nirkin.

nirkin.com

This library provides video\image sequence functionality for finding face landmarks and bounding boxes.

Main features:

• Matlab interface.
• Saving and loading per sequence.
• Face tracking across frames in a sequence.
• Face statistics for finding the most dominant face.

This library is released as part of the face frontalization project: http://www.openu.ac.il/home/hassner/projects/frontalize

Link for the demonstration video:

There are 3 ways to use the library:

• Matlab interface. Please take a look at the MATLAB Tutorial.
• C++ interface. Please take a look at the doxygen generated documentation.
• Command line tools. Use --help for more information on each tool.

1. Use CMake and your favorite compiler to build and install the library or download the available binaries from here.

• Add find_face_landmarks/bin to path.
• Add find_face_landmarks/interfaces/matlab to Matlab's path
• Download the landmarks model file: shape_predictor_68_face_landmarks.dat

If you find this code useful, please make sure to add suitable references to the original DLIB library and the frontalization paper. Bib items for both are:

DLIB
@article{king2009dlib,
title={Dlib-ml: A machine learning toolkit},
author={King, Davis E},
journal={J. Mach. Learning Research},
volume={10},
pages={1755--1758},
year={2009},
publisher={JMLR. org}
}

Frontalization
@inproceedings{HHPE:CVPR15:frontalize,
author = {Tal Hassner and Shai Harel and Eran Paz and Roee Enbar},
title = {Effective Face Frontalization in Unconstrained Images},
booktitle = {IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2015},
URL = {Available:~http://www.openu.ac.il/home/hassner/projects/frontalize}
}