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Comprehensive database for facial expression analysis
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| Venue: | in Proceedings of Fourth IEEE International Conference on Automatic Face and Gesture Recognition |
| Citations: | 577 - 48 self |
BibTeX
@INPROCEEDINGS{Kanade_comprehensivedatabase,
author = {Takeo Kanade and Jeffrey F. Cohn and Yingli Tian},
title = {Comprehensive database for facial expression analysis},
booktitle = {in Proceedings of Fourth IEEE International Conference on Automatic Face and Gesture Recognition},
year = {},
pages = {46--53}
}
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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 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.
Keyphrases
facial expression analysis comprehensive database scene complexity digitized image sequence image characteristic test data limited data set significant effort head orientation individual difference multiple token various method primary facs action unit non-verbal behavior problem space past decade comparative study adult subject
