A Comparative Study on Region-Based Moments for Facial Expression Recognition

Automatic facial expression is a challenging task of intelligent human-computer interaction. In this paper, we present a comparative study on moments based feature extraction methods in terms of their capability to recognize facial expression images. The moments include Hu’s moments, Zernike moments, Wavelet moments and Krawtchouk moments. Krawtchouk moments are applied to facial expression analysis for the first time. Experiments are conducted on Cohn-Kanade facial expression database. The test images are original images, localized images and edge detected images. Experimental results show that wavelet moments outperform other moments based methods in facial expression recognition.

[1]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[2]  Roland T. Chin,et al.  On Image Analysis by the Methods of Moments , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Alireza Khotanzad,et al.  Invariant Image Recognition by Zernike Moments , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Jan Flusser,et al.  Pattern recognition by affine moment invariants , 1993, Pattern Recognit..

[5]  Dinggang Shen,et al.  Discriminative wavelet shape descriptors for recognition of 2-D patterns , 1999, Pattern Recognit..

[6]  Maja Pantic,et al.  Automatic Analysis of Facial Expressions: The State of the Art , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Takeo Kanade,et al.  Comprehensive database for facial expression analysis , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[8]  Chi Chung Ko,et al.  Using moment invariants and HMM in facial expression recognition , 2002, Pattern Recognit. Lett..

[9]  Raveendran Paramesran,et al.  Image analysis by Krawtchouk moments , 2003, IEEE Trans. Image Process..

[10]  Beat Fasel,et al.  Automati Fa ial Expression Analysis: A Survey , 1999 .

[11]  Zhang Pin-zheng.  Comparison of Hu Moment and Zernike Moment in Application of Facial Expression Recognition , 2004 .

[12]  Faouzi Ghorbel,et al.  Image reconstruction from a complete set of similarity invariants extracted from complex moments , 2006, Pattern Recognit. Lett..