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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제12권 제3호
- 발행연도
- 2016.1
- 수록면
- 381 - 391 (11page)
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초록· 키워드
오류제보하기
The Joint Bayesian (JB) method has been used in most state-of-the-art methods for face verification.
However, since the publication of the original JB method in 2012, no improved verification method has been proposed. A lot of studies on face verification have been focused on extracting good features to improve the performance in the challenging Labeled Faces in the Wild (LFW) database. In this paper, we propose an improved version of the JB method, called the two-dimensional Joint Bayesian (2D-JB) method. It is very simple but effective in both the training and test phases. We separated two symmetric terms from the three terms of the JB log likelihood ratio function. Using the two terms as a two-dimensional vector, we learned a decision line to classify same and not-same cases. Our experimental results show that the proposed 2D-JB method significantly outperforms the original JB method by more than 1% in the LFW database.
목차
등록된 정보가 없습니다.
참고문헌 (14)
참고문헌 신청
G. B. Huang / 2007 / Labeled faces in the wild: a database for studying face recognition in unconstrained environments
T. Ahonen / 2006 / Face description with local binary patterns: application to face recognition / IEEE Transactions on Pattern Analysis and Machine Intelligence 28(12):2037~2041
Z. Cao / 2010 / Face recognition with learning-based descriptor / Proceedings of IEEE International conference on Computer Vision and Pattern Recognition(CVPR) :2707~2714
D. Chen / 2012 / Bayesian face revisited: a joint formulation / Proceedings of European Conference on Computer Vision :566~579
D. Chen / 2013 / Blessing of dimensionality : high-dimensional feature and its efficient compression for face verification / Proceedings of IEEE International conference on Computer Vision and Pattern Recognition(CVPR) :3025~3032
T. Ahonen / 2006 / Face description with local binary patterns: application to face recognition / IEEE Transactions on Pattern Analysis and Machine Intelligence 28(12):2037~2041
Z. Cao / 2010 / Face recognition with learning-based descriptor / Proceedings of IEEE International conference on Computer Vision and Pattern Recognition(CVPR) :2707~2714
D. Chen / 2012 / Bayesian face revisited: a joint formulation / Proceedings of European Conference on Computer Vision :566~579
D. Chen / 2013 / Blessing of dimensionality : high-dimensional feature and its efficient compression for face verification / Proceedings of IEEE International conference on Computer Vision and Pattern Recognition(CVPR) :3025~3032
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