Author:
EKMEKÇİ Kübra,ÖZBAY Serkan
Publisher
European Journal of Science and Technology
Reference11 articles.
1. 1] Romero, M. , Pears N. (2009). Landmark localisation in 3D face data. 6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009, 73-78.
2. [2] Valstar, M.F. & Pantic, M. (2012). Fully automatic recognition of the temporal phases of facial actions. IEEE Trans. Syst. Man Cybern. Part B Cybern. 42(1), 28-43.
3. [3] Gudi, A. , Tasli, H.E. , Den Uyl, T. M. & Maroulis A. (2015). Deep learning based FACS action unit occurence and intensity estimation.
4. [4] Khorromi, P.K. , Paine, T.L. , Brady, K. , Dagli, C. & Huang, T.S. (2016). How deep neural networks can improve emotion recognition on video data. 1-5.
5. [5] Nguyen's Yearn, HD., Lee, G-S. , Yang, H-J. , Na, L. & Kim, H. (2018). Facial emotion recognition using an ensemble of multilevel convolutional neural networks. International Journal of Pattern Recognition and Artificial Intelligence.