pyaam - active appearance model

active appearance models implemented in python

Instructions

Download MUCT dataset:

python -m pyaam.muct

View MUCT dataset:

./view_data.py

Train models:

./train_model.py shape
./train_model.py patches
./train_model.py detector
./train_model.py texture
./train_model.py combined

View models:

./view_model.py shape
./view_model.py patches
./view_model.py texture
./view_model.py combined

View face detector on webcam:

./view_face.py detector

View face tracker (patches):

./view_face.py tracker

Face tracker using AAMs coming soon!

J. Saragih, "Non-rigid Face Tracking". In Mastering OpenCV with Practical Computer Vision Projects. PACKT, Oct 2012.
M.B. Stegmann, "Active appearance models: Theory, extensions and cases". Master Thesis. 2nd edition. Informatics and Mathematical Modelling, Technical University of Denmark. Aug 2000.
P. Martins, "Active Appearance Models for Facial Expression Recognition and Monocular Head Pose Estimation". MSc Thesis. Department of Electrical and Computer Engineering, University of Coimbra. June 2008.