A Novel Facial Expression Recognition Based on the Curvelet Features
作者： Juxiang Zhou , Yunqiong Wang , Tianwei Xu , Wanquan Liu
关键词:
摘要: Curve let transform has been recently proved to be a powerful tool for multi-resolution analysis on images. In this paper we propose new approach facial expression recognition based features extracted via curve transform. First is presented and its advantages in image are described. Then the coefficients of selected scales angles used as analysis. Consequently Principal Component Analysis (PCA) Linear Discriminate (LDA) reduce optimize features. Finally use nearest neighbor classifier recognize expressions these The experimental results JAFFE Cohn Kanade two benchmark databases show that proposed outperforms PCA LDA techniques original pixel values well counterparts with wavelet
curtin.edu.au参考文章(24)
Arun Hampapur, Sharat Pankanti, Andrew Senior, Lisa Brown, Ying-li Tian, Real World Real-time Automatic Recognition of Facial Expressions ,(2003)
Tanaya Mandal, Angshul Majumdar, Q. M. Jonathan Wu, Face recognition by curvelet based feature extraction international conference on image analysis and recognition. pp. 806- 817 ,(2007) , 10.1007/978-3-540-74260-9_72
David L. Donoho, Emmanuel J. Candes, Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges ,(2000)
A. Santhiyaku Jeevakumar, K. Ramar, V. Gomathi, Human Facial Expression Recognition using MANFIS Model World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering. ,vol. 3, pp. 288- 292 ,(2009)
Hazım Kemal Ekenel, Rainer Stiefelhagen, Why Is Facial Occlusion a Challenging Problem international conference on biometrics. pp. 299- 308 ,(2009) , 10.1007/978-3-642-01793-3_31
Irene Kotsia, Ioan Buciu, Ioannis Pitas, An analysis of facial expression recognition under partial facial image occlusion Image and Vision Computing. ,vol. 26, pp. 1052- 1067 ,(2008) , 10.1016/J.IMAVIS.2007.11.004
C. Garcia, G. Zikos, G. Tziritas, Wavelet packet analysis for face recognition Image and Vision Computing. ,vol. 18, pp. 289- 297 ,(2000) , 10.1016/S0262-8856(99)00056-6
B. Fasel, Juergen Luettin, Automatic facial expression analysis: a survey Pattern Recognition. ,vol. 36, pp. 259- 275 ,(2003) , 10.1016/S0031-3203(02)00052-3
Bai Li, Yihui Liu, When eigenfaces are combined with wavelets Knowledge Based Systems. ,vol. 15, pp. 343- 347 ,(2002) , 10.1016/S0950-7051(01)00172-1
Kazunori Kotani, Fan Chen, Facial Expression Recognition by SVM-based Two-stage Classifier on Gabor Features Journal of Machine Vision and Applications. pp. 453- 456 ,(2007)