Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition (2002)
May 20, 2002 to May 21, 2002
Yaser Yacoob , University of Maryland at College Park
Larry Davis , University of Maryland at College Park
This paper investigates face recognition during facial expressions. While face-expressions have been treated as an adverse factor in standard face recognition approaches, our research suggests that if a system has a choice in the selection of faces to use in training and recognition, its best performance would be obtained on faces displaying expressions. Naturally, smiling faces are the most prevalent (among expressive faces) for both training and recognition in dynamic scenarios. We employ a measure of Discrimination Power that is computed from between-class and within-class scatter matrices. Two databases are used to show the performance differences on different sets of faces.
Face recognition, face expression, PCA
L. Davis and Y. Yacoob, "Smiling Faces are Better for Face Recognition," Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition(FG), Washinton D.C., 2002, pp. 0059.