Implementation of: Tim Sheerman-Chase, Eng-Jon Ong, Richard Bowden. Non-linear Predictors for Facial feature Tracking across Pose and Expression. In IEEE Conference on Automatic Face and Gesture Recognition, Shanghai, 2013.
reltracker.py contains the main class RelTracker.
reltrackersimple.py is a simplified implementation without speed optimisation and less flexibility.
Python >=2.6, cython for optimized version.
Initial work for Python 3 compatibility started, but untested. Feedback welcome.
python setup.py build_ext --inplace
Copyright (C) 2013-2016 Tim Sheerman-Chase
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.