A high-resolution 3D dynamic facial expression database

Face information processing relies on the quality of data resource. From the data modality point of view, a face database can be 2D or 3D, and static or dynamic. From the task point of view, the data can be used for research of computer based automatic face recognition, face expression recognition, face detection, or cognitive and psychological investigation. With the advancement of 3D imaging technologies, 3D dynamic facial sequences (called 4D data) have been used for face information analysis. In this paper, we focus on the modality of 3D dynamic data for the task of facial expression recognition. We present a newly created high-resolution 3D dynamic facial expression database, which is made available to the scientific research community. The database contains 606 3D facial expression sequences captured from 101 subjects of various ethnic backgrounds. The database has been validated through our facial expression recognition experiment using an HMM based 3D spatio-temporal facial de...

• Type: Conference
• Year: 2008
• Where: FGR
• Authors: Lijun Yin, Xiaochen Chen, Yi Sun, Tony Worm, Michael Reale
• Keywords: Biometrics, Dynamic Facial Expression, Facial Expression, Facial Expression Recognition, FGR 2008