Active Shape Model for Face Detection
Computer Vision - Carnegie Mellon University (2008)
The project is to learn and create a face model from a large database with many different faces in different scales and orientations. I have used generalized Procrustes analysis to generate skeleton/mean face and then used it for shape matching and face texture warping.