dc.contributor.author | Zhao, S | |
dc.contributor.author | Gao, Y | |
dc.contributor.author | Zhang, B | |
dc.contributor.editor | IAPR | |
dc.date.accessioned | 2017-05-03T15:01:18Z | |
dc.date.available | 2017-05-03T15:01:18Z | |
dc.date.issued | 2010 | |
dc.date.modified | 2011-04-18T06:54:32Z | |
dc.identifier.isbn | 9780769541099 | |
dc.identifier.issn | 1051-4651 | |
dc.identifier.refuri | http://www.icpr2010.org/ | |
dc.identifier.doi | 10.1109/ICPR.2010.317 | |
dc.identifier.uri | http://hdl.handle.net/10072/36141 | |
dc.description.abstract | Face recognition using micropattern representation has recently received much attention in the computer vision and pattern recognition community. Previous researches demonstrated that micropattern representation based on Gabor features achieves better performance than its direct usage on gray-level images. This paper conducts a comparative performance evaluation of micropattern representations on four forms of Gabor features for face recognition. Three evaluation rules are proposed and observed for a fair comparison. To reduce the high feature dimensionality problem, uniform quantization is used to partition the spatial histograms. The experimental results reveal that: 1) micropattern representation based on Gabor magnitude features outperforms the other three representations, and the performances of the other three are comparable; and 2) micropattern representation based on the combination of Gabor magnitude and phase features performs the best. | |
dc.description.peerreviewed | Yes | |
dc.description.publicationstatus | Yes | |
dc.format.extent | 556939 bytes | |
dc.format.mimetype | application/pdf | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | IEEE Computer Society | |
dc.publisher.place | United States | |
dc.relation.ispartofstudentpublication | N | |
dc.relation.ispartofconferencename | The 20th International Conference on Pattern Recognition (ICPR 2010) | |
dc.relation.ispartofconferencetitle | Proceedings - International Conference on Pattern Recognition | |
dc.relation.ispartofdatefrom | 2010-08-23 | |
dc.relation.ispartofdateto | 2010-08-26 | |
dc.relation.ispartoflocation | Istanbul, Turkey | |
dc.relation.ispartofpagefrom | 1273 | |
dc.relation.ispartofpageto | 1276 | |
dc.rights.retention | Y | |
dc.subject.fieldofresearch | Computer vision | |
dc.subject.fieldofresearchcode | 460304 | |
dc.title | Performance Evaluation of Micropattern Representation on Gabor Features for Face Recognition | |
dc.type | Conference output | |
dc.type.description | E1 - Conferences | |
dc.type.code | E - Conference Publications | |
gro.faculty | Griffith Sciences, Griffith School of Engineering | |
gro.rights.copyright | © 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | |
gro.date.issued | 2010 | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Gao, Yongsheng | |