A modularly vectorized two dimensional LDA for face recognition
dc.contributor.author | Jvmahong, H. | |
dc.contributor.author | Liu, Wan-Quan | |
dc.contributor.author | Lu, C. | |
dc.contributor.editor | Wang, X. | |
dc.contributor.editor | Yeung, D. S. | |
dc.date.accessioned | 2017-01-30T11:40:11Z | |
dc.date.available | 2017-01-30T11:40:11Z | |
dc.date.created | 2015-03-03T20:17:37Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Huxidan and Liu, W. and Lu, C. 2012. A modularly vectorized two dimensional LDA for face recognition, in International Conference on Machine Learning and Cybernetics (ICMLC), Jul 15-17 2012, pp. 695-701. Xian, Shaanxi, China: Institute of Electrical and Electronics Engineers (IEEE). | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/13914 | |
dc.identifier.doi | 10.1109/ICMLC.2012.6359009 | |
dc.description.abstract |
In this paper, a modularly vectorized 2DLDA (Mv2DLDA) is proposed for face recognition. First, the original images are divided into modular blocks. Then, each sub-block is transformed into a vector. By using column vector to represent each modular block, we can obtain a two dimensional matrix representation for image. Finally 2DLDA is applied directly on these 2D matrices. Experimental results on ORL, Yale B and PIE databases show that the proposed method can achieve better recognition performance in comparison with RLDA, 2DPCA and 2DLDA. | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.title | A modularly vectorized two dimensional LDA for face recognition | |
dc.type | Conference Paper | |
dcterms.source.startPage | 695 | |
dcterms.source.endPage | 701 | |
dcterms.source.issn | 2160133X | |
dcterms.source.title | Proceedings of the 2012 International Conference on Machine Learning and Cybernetics | |
dcterms.source.series | Proceedings of the 2012 International Conference on Machine Learning and Cybernetics | |
dcterms.source.conference | International Conference on Machine Learning and Cybernetics (ICMLC 2012) | |
dcterms.source.conference-start-date | Jul 15 2012 | |
dcterms.source.conferencelocation | Xian, Shaanxi, China | |
dcterms.source.place | USA | |
curtin.department | Department of Computing | |
curtin.accessStatus | Fulltext not available |