AU Classification using AAMs and CRFs (extended abstract)

Automatic facial expression recognition is an important problem in social signal processing that has applications ranging from treatment of autistic children to monitoring of conflict situations [6]. In psychology, facial expressions are generally described using the Facial Action Coding System (FACS; [2]), in which each facial muscle is...

Action unit classification using active appearance models and conditional random fields

In this paper, we investigate to what extent modern computer vision and machine learning techniques can assist social psychology research by automatically recognizing facial expressions. To this end, we develop a system that automatically recognizes the action units defined in the facial action coding system (FACS). The system uses a...

Capturing Appearance Variation in Active Appearance Models

The paper presents an extension of active appearance models (AAMs) that is better capable of dealing with the large variation in face appearance that is encountered in large multi-person face data sets. Instead of the traditional PCA-based texture model, our extended AAM employs a mixture of probabilistic PCA to describe texture variation,...