Recognizing Expressions in a New Database Containing Played and Natural Expressions

We describe a new expression database which contains video sequences of both played and natural expressions and an expression classification system based on warped optical flow fields and texture features. We analyze the system’s generalization performance when confronted with subjects that were not present in the training set and its recognition performance when tested on natural expressions. We evaluate several techniques for combining the classifier outputs computed on single images to perform classification of a temporal sequence of expression images.