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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Comprehensive database for facial expression analysis

Kanade, T., Cohn, J.F., Yingli Tian·2002·Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)

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.

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Research works printed but not linked: 20

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Metadata

Authors
Kanade, T., Cohn, J. F., & Tian, Y.
Venue
Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)
Published
2002-11-07
Pages
46-53
ISSN
1541-5058 (ISSN-L)
OpenAlex
W2125127226
Cited by
2,591
References
3
FWCI
83.86
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Comprehensive database for facial expression analysis. https://app.cochat.ai/papers/10.1109/afgr.2000.840611
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Kanade, T., Cohn, J. F., & Tian, Y. (2002). Comprehensive database for facial expression analysis. Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580). https://doi.org/10.1109/afgr.2000.840611

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