Facial Emotion and Action Unit Recognition based on Bayesian Network-Reference-Cited by-同舟云学术

Facial Emotion and Action Unit Recognition based on Bayesian Network

Published:2019-10-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition
language:
Short-container-title:

Author:

He Jun¹,Yu Xiaocui¹,Yu Lejun¹,Sun Bo¹

Affiliation:

1. Beijing Normal University, College of Information Science and Technology, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3373509.3373513

Reference36 articles.

1. Ekman P Friesen W. "Facial Action Coding System (FACS): A technique for the measurement of facial action." Palo Alto CA: Consulting Psychologists Press. 1978. Ekman P Friesen W. "Facial Action Coding System (FACS): A technique for the measurement of facial action." Palo Alto CA: Consulting Psychologists Press. 1978.

2. Automated facial expression recognition based on FACS action units;Lien J J;Proceedings of the Third IEEE International Conference on Automatic Face and Gesture Recognition, IEEE

3. Combined support vector machines and hidden Markov models for modeling facial action temporal dynamics;Valstar M F;Human-Computer Interaction. Springer.

4. Joint patch and multi-label learning for facial action unit detection;Zhao K;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

5. Latent trees for estimating intensity of facial action units;Kaltwang S;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computer vision for facial analysis using human–computer interaction models;International Journal of Speech Technology;2022-02-08