CCBR 2015: Biometric Recognition pp 416-422 | Cite as
Facial Expression Recognition Based on Gabor Feature and SRC
Abstract
We present a facial expression recognition algorithm in this paper, which is based on a combination of the Gabor Feature and the Sprase Representation based Classification(SRC). First, improved Gabor filter is used to extract features. Then we use Principle Component Analysis (PCA) to reduce the dimension of Gabor feature to avoid redundancy. Finally, SRC is used to recognize and classify facial expression. Experiments on facial expression database JAFFE and Cohn-Kanade show that our approach is effective for both dimension reduction and recognition performance. The proposed method achieve 97.68% recognition accuracy on JAFFE.
Keywords
Facial expression recognition Gabor feature Principle Component Analysis(PCA) Sparse Representation based Classification(SRC)Preview
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References
- 1.Zhang, Z., Lyons, M., Schuster, M., Akamatsu, S.: Comparison between geometry-based and gabor-wavelets-based facial expression recognition using multi-layer perceptron. In: 3rd IEEE International Conference on Automatic Face and Gesture Recognition, pp. 454–459. IEEE Press, Nara (1998)Google Scholar
- 2.Lyons, M.J., Budynek, J., Akamatsu, S.: Automatic Classification of Single Facial Images. IEEE Trans. Pattern Anal. Mach. Intell. 21, 1357–1362 (1999)CrossRefGoogle Scholar
- 3.Viola, P., Jones, M.J.: Robust real-time face detection. In: 8th IEEE International Conference on Computer Vision, pp. 747. IEEE Press (2001)Google Scholar
- 4.Milborrow, S., Nicolls, F.: Locating facial features with an extended active shape model. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part IV. LNCS, vol. 5305, pp. 504–513. Springer, Heidelberg (2008)CrossRefGoogle Scholar
- 5.Marcelja, S.: Mathematical Description of the Responses of Simple Cortical Cells. J. Opt. Soc. Am. 70, 1297–1300 (1980)CrossRefMathSciNetGoogle Scholar
- 6.Lyons, M., Akamatsu, S., Kamachi, M., Gyoba, J.: Coding facial expressions with gabor wavelets. In: 3rd IEEE International Conference on Automatic Face and Gesture Recognition, pp. 200–205. IEEE Press, Nara (1998)Google Scholar
- 7.Wiskott, L., Fellous, J.M., Kuiger, N., Von Der Malsburg, C.: Face recognition by elastic bunch graph matching. In: 7th International Conference on Computer Analysis of Images and Patterns, pp: 129–132. IEEE Press, Santa Barbara (2002)Google Scholar
- 8.Zhu, J.X., Su, G.D., Li, Y.E.: Facial Expression Recognition Based on Gabor Feature and Adaboost. J. Optoelectronics Laser 17, 993–998 (2006)Google Scholar
- 9.Turk, M., Pentland, A.: Eigenfaces For Recognition. J. Cognitive Neurosci. 3, 71–86 (1991)CrossRefGoogle Scholar
- 10.Abdulrahman, M., Gwadabe, T.R., Abdu, F.J., Eleyan, A.: Gabor wavelet transform based facial expression recognition using PCA and LBP. In: 22nd Signal Processing and Communications Applications Conference, pp. 2265–2268. IEEE Press, Trabzon (2014)Google Scholar
- 11.Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y.: Robust Face Recognition via Sparse Representation. IIEEE Trans. Pattern Anal. Mach. Intell. 31, 210–227 (2008)CrossRefGoogle Scholar
- 12.Yang, M., Zhang, D., Yang, J.: Robust sparse coding for face recognition. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition, pp. 625–632. IEEE Press, Providence (2011)Google Scholar