Regularized kernel discriminant analysis with a robust kernel for face recognition and verification
We propose a robust approach to discriminant kernel-based feature extraction for face recognition and verification. We show, for the first time, how to perform the eigen analysis of the within-class scatter matrix directly in the feature space. This eigen analysis provides the eigenspectrum of its r...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2012
|
| Online Access: | https://eprints.nottingham.ac.uk/31423/ |
| _version_ | 1848794198060302336 |
|---|---|
| author | Zafeiriou, Stefanos Tzimiropoulos, Georgios Petrou, Maria Stathaki, Tania |
| author_facet | Zafeiriou, Stefanos Tzimiropoulos, Georgios Petrou, Maria Stathaki, Tania |
| author_sort | Zafeiriou, Stefanos |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | We propose a robust approach to discriminant kernel-based feature extraction for face recognition and verification. We show, for the first time, how to perform the eigen analysis of the within-class scatter matrix directly in the feature space. This eigen analysis provides the eigenspectrum of its range space and the corresponding eigenvectors as well as the eigenvectors spanning its null space. Based on our analysis, we propose a kernel discriminant analysis (KDA) which combines eigenspectrum regularization with a feature-level scheme (ER-KDA). Finally, we combine the proposed ER-KDA with a nonlinear robust kernel particularly suitable for face recognition/verification applications which require robustness against outliers caused by occlusions and illumination changes. We applied the proposed framework to several popular databases (Yale, AR, XM2VTS) and achieved state-of-the-art performance for most of our experiments. |
| first_indexed | 2025-11-14T19:12:22Z |
| format | Article |
| id | nottingham-31423 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:12:22Z |
| publishDate | 2012 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-314232020-05-04T20:21:51Z https://eprints.nottingham.ac.uk/31423/ Regularized kernel discriminant analysis with a robust kernel for face recognition and verification Zafeiriou, Stefanos Tzimiropoulos, Georgios Petrou, Maria Stathaki, Tania We propose a robust approach to discriminant kernel-based feature extraction for face recognition and verification. We show, for the first time, how to perform the eigen analysis of the within-class scatter matrix directly in the feature space. This eigen analysis provides the eigenspectrum of its range space and the corresponding eigenvectors as well as the eigenvectors spanning its null space. Based on our analysis, we propose a kernel discriminant analysis (KDA) which combines eigenspectrum regularization with a feature-level scheme (ER-KDA). Finally, we combine the proposed ER-KDA with a nonlinear robust kernel particularly suitable for face recognition/verification applications which require robustness against outliers caused by occlusions and illumination changes. We applied the proposed framework to several popular databases (Yale, AR, XM2VTS) and achieved state-of-the-art performance for most of our experiments. Institute of Electrical and Electronics Engineers 2012-03 Article PeerReviewed Zafeiriou, Stefanos, Tzimiropoulos, Georgios, Petrou, Maria and Stathaki, Tania (2012) Regularized kernel discriminant analysis with a robust kernel for face recognition and verification. IEEE Transactions on Neural Networks and Learning Systems, 23 (3). pp. 526-534. ISSN 2162-237X http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6129513 doi:10.1109/TNNLS.2011.2182058 doi:10.1109/TNNLS.2011.2182058 |
| spellingShingle | Zafeiriou, Stefanos Tzimiropoulos, Georgios Petrou, Maria Stathaki, Tania Regularized kernel discriminant analysis with a robust kernel for face recognition and verification |
| title | Regularized kernel discriminant analysis with a robust kernel for face recognition and verification |
| title_full | Regularized kernel discriminant analysis with a robust kernel for face recognition and verification |
| title_fullStr | Regularized kernel discriminant analysis with a robust kernel for face recognition and verification |
| title_full_unstemmed | Regularized kernel discriminant analysis with a robust kernel for face recognition and verification |
| title_short | Regularized kernel discriminant analysis with a robust kernel for face recognition and verification |
| title_sort | regularized kernel discriminant analysis with a robust kernel for face recognition and verification |
| url | https://eprints.nottingham.ac.uk/31423/ https://eprints.nottingham.ac.uk/31423/ https://eprints.nottingham.ac.uk/31423/ |