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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yadong Li Qiuqi Ruan Gaoyun An Xiaoli Li |
| Copyright Year | 2010 |
| Description | Author affiliation: Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China (Yadong Li; Qiuqi Ruan; Gaoyun An; Xiaoli Li) |
| Abstract | A novel feature extraction method is proposed in this paper named DTCW-SA which is based on the dual-tree complex wavelet transform and supervised spectral analysis for facial expression recognition. Although holding the property of multi-resolution entirely, compared with traditional wavelet and Gabor transform, the attractive characteristics of DT-CWT are better orientation selectivity, approximate shift-invariance and lower redundancy. Different with existing DT-CWT, we extend images to appropriate size by interpolation before transform instead of copying the values of last row or column when decomposition of each scale. What's more, the method of supervised spectral analysis can dig nonlinear information hidden in the data. Experiments on JAFFE database and CK database illustrate the efficiency of DTCW-SA, and the highest average rate of six expressions reaches 97.8% on CK database. |
| Starting Page | 1301 |
| Ending Page | 1304 |
| File Size | 275774 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424458974 |
| e-ISBN | 9781424459001 |
| DOI | 10.1109/ICOSP.2010.5657107 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet transforms Feature extraction Databases Wavelet analysis Face recognition Spectral analysis spectral analysis dual-tree complex wavelet transform feature extraction |
| Content Type | Text |
| Resource Type | Article |
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