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Proceedings Paper

A facial expression image database and norm for Asian population: a preliminary report
Author(s): Chien-Chung Chen; Shu-ling Cho; Katarzyna Horszowska; Mei-Yen Chen; Chia-Ching Wu; Hsueh-Chih Chen; Yi-Yu Yeh; Chao-Min Cheng
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Paper Abstract

We collected 6604 images of 30 models in eight types of facial expression: happiness, anger, sadness, disgust, fear, surprise, contempt and neutral. Among them, 406 most representative images from 12 models were rated by more than 200 human raters for perceived emotion category and intensity. Such large number of emotion categories, models and raters is sufficient for most serious expression recognition research both in psychology and in computer science. All the models and raters are of Asian background. Hence, this database can also be used when the culture background is a concern. In addition, 43 landmarks each of the 291 rated frontal view images were identified and recorded. This information should facilitate feature based research of facial expression. Overall, the diversity in images and richness in information should make our database and norm useful for a wide range of research.

Paper Details

Date Published: 19 January 2009
PDF: 9 pages
Proc. SPIE 7242, Image Quality and System Performance VI, 72421D (19 January 2009); doi: 10.1117/12.806130
Show Author Affiliations
Chien-Chung Chen, National Taiwan Univ. (Taiwan)
Shu-ling Cho, Fu-Jen Catholic Univ. (Taiwan)
Katarzyna Horszowska, National Taiwan Univ. (Taiwan)
Mei-Yen Chen, National Taiwan Univ. (Taiwan)
Chia-Ching Wu, National Taiwan Univ. (Taiwan)
Hsueh-Chih Chen, National Taiwan Normal Univ. (Taiwan)
Yi-Yu Yeh, National Taiwan Univ. (Taiwan)
Chao-Min Cheng, National Taiwan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 7242:
Image Quality and System Performance VI
Susan P. Farnand; Frans Gaykema, Editor(s)

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