Facial Feature Detection Based on AAM for Facial Animation


Kang Liu, Joern Ostermann (UHANN) in collaboration with TUT

The improved AAM (Active Appearance Model) performs more accurately and stable and achieves subpel accuracy of detection and location. The detected geometrical features are used for the synthesis of facial animation. Morphing is used to smooth the transition automatically based on the features resulting from AAM.