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

研究成果: 雜誌貢獻Conference article同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
文章編號72421D
期刊Proceedings of SPIE - The International Society for Optical Engineering
7242
DOIs
出版狀態已發佈 - 2009 三月 18
事件Image Quality and System Performance VI - San Jose, CA, 美国
持續時間: 2009 一月 192009 一月 21

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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