Action Unit recognition in still images using graph-based feature selection

@article{Sechkova2016ActionUR,
  title={Action Unit recognition in still images using graph-based feature selection},
  author={Teodora Sechkova and Krasimir Tonchev and Agata Manolova},
  journal={2016 IEEE 8th International Conference on Intelligent Systems (IS)},
  year={2016},
  pages={646-650}
}
Facial expressions are universal and independent of race, culture, ethnicity, nationality, gender, age, religion, or any other demographic variable. These facts are the main reason for automatic facial expression recognition being one of the hot topics of many research efforts and being useful in so many commercial and scientific fields. The most well-known and probably the most used anatomically based method of defining facial activity is Facial Action Coding System (FACS). In this paper, we… CONTINUE READING

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