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Carnegie Mellon Robotics Institute

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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 adult subjects of varying ethnicity, performing multiple tokens of most primary FACS action units. This database is the most comprehensive testbed to date for comparative studies of facial expression analysis.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): Face Group and Component Analysis

Associated Project(s): Facial Expression Analysis and Face Databases

Text Reference

Takeo Kanade, Jeffrey Cohn, and Ying-Li Tian, "Comprehensive Database for Facial Expression Analysis," Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition (FG'00), March, 2000, pp. 46 - 53.

BibTeX Reference

@inproceedings{Kanade_2000_3253,
   author = "Takeo Kanade and Jeffrey Cohn and Ying-Li Tian",
   title = "Comprehensive Database for Facial Expression Analysis",
   booktitle = "Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition (FG'00)",
   pages = "46 - 53",
   month = "March",
   year = "2000",
}

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