ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
On Decomposing an Unseen 3D Face into Neutral Face and Expression Deformations
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Upper Facial Action Unit Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Emotion recognition with consideration of facial expression and physiological signals
CIBCB'09 Proceedings of the 6th Annual IEEE conference on Computational Intelligence in Bioinformatics and Computational Biology
Facial expression recognition using embedded hidden Markov model
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Grid-Based parallel elastic graph matching face recognition method
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
| Hi-index | 0.00 |
In order to achieve subject-independent facial expression recognition and obtain robustness against illumination variety and image deformation, facial expression recognition methods based on Gabor wavelet transformation and elastic templates matching are presented in this paper. Firstly, given a still image containing facial expression information, preprocessors are executed. Secondly, Gabor wavelets are adopted to extract expression features. Then the elastic graph for expression features is constructed. Finally, elastic templates matching algorithm is used to recognize facial expression. Experiments show that expression features can be extracted effectively by Gabor wavelet transformation and high recognition rate can be obtained using elastic templates matching algorithm.