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

Research output: Contribution to journalConference article

1 Citation (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 languageEnglish
Article number72421D
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume7242
DOIs
Publication statusPublished - 2009 Mar 18
EventImage Quality and System Performance VI - San Jose, CA, United States
Duration: 2009 Jan 192009 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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