A facial expression image database and norm for Asian population: A preliminary report

Chien Chung Chen; Shu Ling Cho; Katarzyna Horszowska; Mei Yen Chen; Chia Ching Wu; Hsueh Chih Chen; Yi Yu Yeh; Chao Min Cheng

doi:10.1117/12.806130

A facial expression image database and norm for Asian population: A preliminary report

Chien Chung Chen^*, Shu Ling Cho, Katarzyna Horszowska, Mei Yen Chen, Chia Ching Wu, Hsueh Chih Chen, Yi Yu Yeh, Chao Min Cheng

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

3 Citations (Scopus)

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.

Original language	English
Article number	72421D
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7242
DOIs	https://doi.org/10.1117/12.806130
Publication status	Published - 2009
Event	Image Quality and System Performance VI - San Jose, CA, United States Duration: 2009 Jan 19 → 2009 Jan 21

Keywords

Emotion
Face perception
Facial features
Image processing

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.806130

Cite this

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title = "A facial expression image database and norm for Asian population: A preliminary report",

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.",

keywords = "Emotion, Face perception, Facial features, Image processing",

author = "Chen, {Chien Chung} and Cho, {Shu Ling} and Katarzyna Horszowska and Chen, {Mei Yen} and Wu, {Chia Ching} and Chen, {Hsueh Chih} and Yeh, {Yi Yu} and Cheng, {Chao Min}",

year = "2009",

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journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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AU - Chen, Chien Chung

AU - Cho, Shu Ling

AU - Horszowska, Katarzyna

AU - Chen, Mei Yen

AU - Wu, Chia Ching

AU - Chen, Hsueh Chih

AU - Yeh, Yi Yu

AU - Cheng, Chao Min

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Emotion

KW - Face perception

KW - Facial features

KW - Image processing

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Y2 - 19 January 2009 through 21 January 2009

ER -

A facial expression image database and norm for Asian population: A preliminary report

Abstract

Keywords

ASJC Scopus subject areas

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