Learning a Class-Specific Dictionary for Facial Expression Recognition

1. Zheng, W., X. Zhou, M. Xin. Color Facial Expression Recognition Based on Color Local Features. - In: Proc. of 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), South Brisbane, QLD, 2015, pp. 1528-1532.10.1109/ICASSP.2015.7178226Search in Google Scholar

2. Eleftheriadis, S., O. Rudovic, M. Pantic. Discriminative Shared Gaussian Processes for Multiview and View-Invariant Facial Expression Recognition. - IEEE Transactions on Image Processing, Vol. 24, 2015, No 1, pp. 189-204.10.1109/TIP.2014.237563425438312Search in Google Scholar

3. Wang, X., A. Liu, S. Zhang. New Facial Expression Recognition Based on FSVMand KNN. - Optik International Journal for Light and Electron Optics, Vol. 126, 2015, No 21, pp. 3132-3134.10.1016/j.ijleo.2015.07.073Search in Google Scholar

4. Wright, J., A. Y. Yang, A. Ganesh, S. S. Sastry, Y. Ma. Robust Face Recognition via Sparse Representation. - IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, 2009, No 2, pp. 210-227.10.1109/TPAMI.2008.7919110489Search in Google Scholar

5. Yang, M., L. Zhang, J. Yang, D. Zhang. Metaface Learning for Sparse Representation Based Face Recognition. - In: Proc. of 2010 17th IEEE International Conference on Image Processing (ICIP), Hong Kong, 2010, pp. 1601-1604.10.1109/ICIP.2010.5652363Search in Google Scholar

6. Kim, S. J., K. Koh, M. Lustig, S. Boyd, D. Gorinevsky. An Interior-Point Method for Large-Scale l1-Regularized Least Squares. - IEEE Journal of Selected Topics in Signal Processing, Vol. 1, 2007, No 4, pp. 606-617.10.1109/JSTSP.2007.910971Search in Google Scholar

7. Dong, W., L. Zhang, G. Shi, X. Wu. Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization. - IEEE Transactions on Image Processing, Vol. 20, 2011, No 7, pp. 1838-1857.10.1109/TIP.2011.210830621278019Search in Google Scholar

8. Lyons, M.J., J. Budynek, S. Akamatsu. Automatic Classification of Single Facial Images. - IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, 1999, No 12, pp. 1357-1362.10.1109/34.817413Search in Google Scholar

9. Kanade, T., Y. Tian, J. Cohn. Comprehensive Database for Facial Expression Analysis. - In: Proc. of International Conference on Face and Gesture Recognition, Grenoble, France, 2000, pp. 46-53.Search in Google Scholar

10. Shan, C., S. Gong, P. Mc Owan. Facial Expression Recognition Based on Local Binary Patterns: A Comprehensive Study. - Image and Vision Computing, Vol. 27, 2009, No 6, pp. 803-816.10.1016/j.imavis.2008.08.005Search in Google Scholar

11. Zhao, X., S. Zhang. Facial Expression Recognition Using Local Binary Patterns and Discriminant Kernel Locally Linear Embedding. - EURASIP Journal on Advances in Signal Processing, Vol. 2012, 2012, No 1, pp. 20.Search in Google Scholar

12. Li, X., Q. Ruan, Y. Jin, G. An, R. Zhao. Fully Automatic 3D Facial Expression Recognition Using Polytypic Multi-Block Local Binary Patterns. - Signal Processing, Vol. 108, 2015, pp. 297-308.10.1016/j.sigpro.2014.09.033Search in Google Scholar

13. Luo, Y., C.-M. Wu, Y. Zhang. Facial Expression Recognition Based on Fusion Feature of PCAand LBPwith SVM. - Optik-International Journal for Light and Electron Optics, Vol. 124, 2013, No 17, pp. 2767-2770. 10.1016/j.ijleo.2012.08.040Search in Google Scholar