TAILIEUCHUNG - Comprehensive Database for Facial Expression Analysis

LISA has an international perspective, and a diverse audience including researchers, students, library staff, and information professionals. Since its inception in 1969 LISA has been interested in a broad range of library and information science (LIS) theory and practice, now taking in developments facilitated by information and communications technology and LIS-related fields such as archives, records management, publishing, information design and technical writing. Consequently, LISA covers a great variety of publications. In considering candidate journals at the scholarly end, the editor takes account of a range of standard criteria, eg publishing standards, timeliness, editorial content, peer review, international. | Comprehensive Database for Facial Expression Analysis Takeo Kanade The Robotics Institute Carnegie Mellon University Pittsburgh PA USA 15213 tk@ http face Jeffrey F. Cohn Department of Psychology University of Pittsburgh The Robotics Institute Carnegie Mellon University 4015 O Hara Street Pittsburgh PA USA 15260 jeffcohn @ Yingli Tian The Robotics Institute Carnegie Mellon University Pittsburgh PA USA 15213 yltian@ Abstract Within the past decade significant effort has occurred in developing methods of facial expression analysis. Because most investigators have used relatively limited data sets the generalizability of these various methods remains unknown. We describe the problem space for facial expression analysis which includes level of description transitions among expression eliciting conditions reliability and validity of training and test data individual differences in subjects head orientation and scene complexity image characteristics and relation to non-verbal behavior. We then present the CMU-Pittsburgh AU-Coded Face Expression Image Database which currently includes 2105 digitized image sequences from 182 adult subjects of varying ethnicity performing multiple tokens of most primary FACS action units. This database is the most comprehensive test-bed to date for comparative studies of facial expression analysis. 1. Introduction Within the past decade significant effort has occurred in developing methods of facial feature tracking and analysis. Analysis includes both measurement of facial motion and recognition of expression. Because most investigators have used relatively limited data sets the generalizability of different approaches to facial expression analysis remains unknown. With few exceptions 10 11 only relatively global facial expressions . joy or anger have been considered subjects have been few in number and homogeneous with respect to age and ethnic background and recording conditions have been .

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