Enhanced Asymmetric Bilinear Model for Face Recognition
Bilinear models have been successfully applied to separate two factors, for example, pose variances and different identities in face recognition problems. Asymmetric model is a type of bilinear model which models a system in the most concise way. But seldom there are works exploring the applications...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-08-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/218514 |
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| _version_ | 1832547855546449920 |
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| author | Wenjuan Gong Weishan Zhang Jordi Gonzàlez Yan Ren Zhen Li |
| author_facet | Wenjuan Gong Weishan Zhang Jordi Gonzàlez Yan Ren Zhen Li |
| author_sort | Wenjuan Gong |
| collection | DOAJ |
| description | Bilinear models have been successfully applied to separate two factors, for example, pose variances and different identities in face recognition problems. Asymmetric model is a type of bilinear model which models a system in the most concise way. But seldom there are works exploring the applications of asymmetric bilinear model on face recognition problem with illumination changes. In this work, we propose enhanced asymmetric model for illumination-robust face recognition. Instead of initializing the factor probabilities randomly, we initialize them with nearest neighbor method and optimize them for the test data. Above that, we update the factor model to be identified. We validate the proposed method on a designed data sample and extended Yale B dataset. The experiment results show that the enhanced asymmetric models give promising results and good recognition accuracies. |
| format | Article |
| id | doaj-art-878b4a1d4dab4bfb9187ca14062b36e3 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-878b4a1d4dab4bfb9187ca14062b36e32025-02-03T06:43:14ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-08-011110.1155/2015/218514218514Enhanced Asymmetric Bilinear Model for Face RecognitionWenjuan Gong0Weishan Zhang1Jordi Gonzàlez2Yan Ren3Zhen Li4 China University of Petroleum, Qingdao 266580, China China University of Petroleum, Qingdao 266580, China Computer Vision Center, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain China University of Petroleum, Qingdao 266580, China Sichuan Water Conservancy Vocational College, Chongzhou, Sichuan 611231, ChinaBilinear models have been successfully applied to separate two factors, for example, pose variances and different identities in face recognition problems. Asymmetric model is a type of bilinear model which models a system in the most concise way. But seldom there are works exploring the applications of asymmetric bilinear model on face recognition problem with illumination changes. In this work, we propose enhanced asymmetric model for illumination-robust face recognition. Instead of initializing the factor probabilities randomly, we initialize them with nearest neighbor method and optimize them for the test data. Above that, we update the factor model to be identified. We validate the proposed method on a designed data sample and extended Yale B dataset. The experiment results show that the enhanced asymmetric models give promising results and good recognition accuracies.https://doi.org/10.1155/2015/218514 |
| spellingShingle | Wenjuan Gong Weishan Zhang Jordi Gonzàlez Yan Ren Zhen Li Enhanced Asymmetric Bilinear Model for Face Recognition International Journal of Distributed Sensor Networks |
| title | Enhanced Asymmetric Bilinear Model for Face Recognition |
| title_full | Enhanced Asymmetric Bilinear Model for Face Recognition |
| title_fullStr | Enhanced Asymmetric Bilinear Model for Face Recognition |
| title_full_unstemmed | Enhanced Asymmetric Bilinear Model for Face Recognition |
| title_short | Enhanced Asymmetric Bilinear Model for Face Recognition |
| title_sort | enhanced asymmetric bilinear model for face recognition |
| url | https://doi.org/10.1155/2015/218514 |
| work_keys_str_mv | AT wenjuangong enhancedasymmetricbilinearmodelforfacerecognition AT weishanzhang enhancedasymmetricbilinearmodelforfacerecognition AT jordigonzalez enhancedasymmetricbilinearmodelforfacerecognition AT yanren enhancedasymmetricbilinearmodelforfacerecognition AT zhenli enhancedasymmetricbilinearmodelforfacerecognition |