This is the stand-alone implementation of Saragih et al's Face Tracker on Visual Studio 2017.

The app fetches image from your camera and perform face tracking @ (average) 30 FPS (Release mode).

• Windows 10 OS
• Visual Studio 2017

To use this app, open FaceTracker.sln in Visual Studio 2017 and run it.

Please note that this software is NOT for commercial purposes.

However if you are interested is using this software for commercial applications, please feel free to request a quote at LINK and follow the software download link provided by them.

You can use this software for non-commercial, academic and research purposes without any license constraints. You need to add the following citations in your paper if you're using this software:

J. M. Saragih, S. Lucey, and J. F. Cohn. 
Face Alignment through Subspace Constrained Mean-Shifts. 
International Conference of Computer Vision (ICCV), September, 2009.

Also, please feel free to read the other\license.md file and contact the authors if you have any doubts. The GPL v3.0 licence I added is valid for the modifications I made (and might make in future). This repo is provided with good hope that Windows users can find it as a quick-start for experimenting with faces. The CMake lovers can find the Github Link provided in References section much helpful.

The following algorithm is not my implementation. If you are interested in understanding the algorithm please follow the references given below:

• Paper: Face Alignment through Subspace Constrained Mean-Shifts
• Original Source code: Github Link

** Coming Soon **

Sri Raghu Malireddi / @r4ghu