dc.contributor.author | Zhang, B | |
dc.contributor.author | Gao, Y | |
dc.date.accessioned | 2017-05-03T14:13:05Z | |
dc.date.available | 2017-05-03T14:13:05Z | |
dc.date.issued | 2012 | |
dc.date.modified | 2013-06-03T04:50:42Z | |
dc.identifier.issn | 1755-8301 | |
dc.identifier.doi | 10.1504/IJBM.2012.044296 | |
dc.identifier.uri | http://hdl.handle.net/10072/47170 | |
dc.description.abstract | Face retrieval has received much attention in recent years. This paper comparatively studied five feature description methods for face representation, including Local Binary Pattern (LBP), Gabor feature, Gray Level Co-occurrence Matrices (GLCM), Pyramid Histogram of Oriented Gradient (PHOG) and Curvelet Transform (CT). The problem of large dimensionalities of the extracted features was addressed by employing a manifold learning method called Spectral Regression (SR). A fusion scheme was proposed by aggregating the distance metrics. Experiments illustrated that dimension reduced features are more efficient and the fusion scheme can offer much enhanced performance. A 98% rank 1 accuracy was obtained for the AR faces and 92% for the FERET faces. | |
dc.description.peerreviewed | Yes | |
dc.description.publicationstatus | Yes | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Inderscience Publishers | |
dc.publisher.place | United Kingdom | |
dc.relation.ispartofstudentpublication | N | |
dc.relation.ispartofpagefrom | 77 | |
dc.relation.ispartofpageto | 101 | |
dc.relation.ispartofissue | 1 | |
dc.relation.ispartofjournal | International Journal of Biometrics | |
dc.relation.ispartofvolume | 4 | |
dc.rights.retention | Y | |
dc.subject.fieldofresearch | Biochemistry and cell biology | |
dc.subject.fieldofresearch | Computer vision | |
dc.subject.fieldofresearch | Theory of computation | |
dc.subject.fieldofresearchcode | 3101 | |
dc.subject.fieldofresearchcode | 460304 | |
dc.subject.fieldofresearchcode | 4613 | |
dc.title | Spectral Regression dimension reduction for multiple features facial image retrieval | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dc.type.code | C - Journal Articles | |
gro.date.issued | 2012 | |
gro.hasfulltext | No Full Text | |
gro.griffith.author | Gao, Yongsheng | |