ofirbb / find_face_landmarks

C++ \ Matlab library for finding face landmarks and bounding boxes in video\image sequences.

find_face_landmarks

Created by Yuval Nirkin.

nirkin.com

Overview

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

Dependencies

Library	Minimum Version	Notes
Boost	1.47
OpenCV	3.0
dlib	18.18
vsal	1.0
OpenCV's extra modules	3.0	Optional - For the LBP face tracker
protobuf	3.0.0	Optional - For loading and saving
Matlab	2012a	Optional - For building the MEX function

Installation

• Use CMake to build and install the mex function.
• 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
• Use show_face_landmarks function to display the output from find_face_landmarks

Bibliography

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}
}