Comprehensive database for facial expression analysis
Carnegie Mellon University · University of Pittsburgh
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 expressions, 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…
Citation impact
- FWCI
- 22.95
- Percentile
- 100%
- References
- 23
Authors
3Topics & keywords
- Generalizability theory
- Facial expression
- Computer science
- Expression (computer science)
- Reliability (semiconductor)
- Artificial intelligence
- Face (sociological concept)
- Orientation (vector space)
- Quality Education