Smile, you're on identity camera

Inspired by recent advances in psychological studies on motion-based face perception, we examine in this paper, from the viewpoint of pattern recognition, the identity information behind a smile. A smile video database is collected, from which we compute dense optical flow fields and generate features by summing up the flow fields over time during the neutral-to-smile period. We investigate the relationship between smiles and identity by studying the class separability of the features. Our experiment results indicate a strong identityspecific characteristic of smile dynamics. Moreover, we compare the discriminating power of the features generated from different face regions as well as from different periods of motion.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Ye Ning, Terence Sim
• Keywords: Computer Vision, ICPR 2008, Motion-based Face Perception, Smile, Smile Video Database