FaceReco

FaceReco is a face recognition system, which can learn and recognize faces from video. It is developed by Marko Linna at the University of Oulu in the Research Work on Information Processing course. The C++/Qt sources are available under the BSD 3-Clause license. This software was developed for research purposes and there is no other support available than this readme file.

Check this video to see how the system performs on the Honda/UCSD video database.

FaceReco utilizes 3rd party software Chehra for facial landmark detection and tracking. Faces are represented using Local Binary Patterns (LBP). For more detailed information about the system, read the following paper:

• Linna M, Kannala J and Rahtu E. Online Face Recognition System Based on Local Binary Patterns and Facial Landmark Tracking. Advanced Concepts for Intelligent Vision Systems (ACIVS 2015). [PDF]

System requirements

FaceReco runs on Windows 64-bit hosts (tested with Windows 7).

Prerequisites

In order to compile FaceReco, the following dependencies must be installed.

• Visual Studio 2012
• Qt 5.2.1 for Windows (VS2012 x64)
  • You can find it in Qt Archive: http://download.qt.io/archive/qt/
• OpenCV 2.4.9
• Chehra
  • Homepage: https://sites.google.com/site/chehrahome/

Compilation

The following steps are required in order to compile FaceReco with OpenCV and Chehra.

1. Get the Chehra C++ Tracking Code (VS2010 and VS2012) from here.
2. Unzip the software to desired location.
3. Update CHEHRA_ROOT variable in FaceReco.pro to point to Chehra root folder.
4. Update OPENCV_ROOT variable in FaceReco.pro to point to OpenCV 2.4.9 root folder.
5. Open Chehra_Linker.h from Include folder and comment out all the header includes but "opencv2/opencv.hpp".
6. Compile FaceReco with Qt Creator.

License

Copyright (c) 2015 Marko Linna.

Licensed under the BSD 3-Clause license.

Citation

Please site the following paper in your publications if FaceReco helps your research.

@inproceedings{linna2015online,
  title={Online Face Recognition System Based on Local Binary Patterns and Facial Landmark Tracking},
  author={Linna, Marko and Kannala, Juho and Rahtu, Esa},
  booktitle={International Conference on Advanced Concepts for Intelligent Vision Systems},
  pages={403--414},
  year={2015},
  organization={Springer}
}