Open AccessA facial expression image database and norm for Asian population: a preliminary report
Author(s) -
ChienChung Chen,
ShuLing Cho,
Katarzyna Horszowska,
MeiYen Chen,
Chia-Ching Wu,
HsuehChih Chen,
Yi-Yu Yeh,
ChaoMin Cheng
Publication year - 2009
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.806130
Subject(s) - sadness , contempt , disgust , surprise , facial expression , happiness , anger , artificial intelligence , expression (computer science) , psychology , computer science , cognitive psychology , pattern recognition (psychology) , social psychology , programming language
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.
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