Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3EERDGB |
Repository | sid.inpe.br/sibgrapi/2013/07.13.02.03 |
Last Update | 2013:07.13.02.03.16 hmg@computacao.ufcg.edu.br |
Metadata | sid.inpe.br/sibgrapi/2013/07.13.02.03.16 |
Metadata Last Update | 2020:02.19.03.09.22 administrator |
Citation Key | MouraGomeCarv:2013:ImFaVe |
Title | An Improved Face Verification Approach based on Speedup Robust Features and Pairwise Matching  |
Format | On-line. |
Year | 2013 |
Date | Aug. 5-8, 2013 |
Access Date | 2021, Jan. 19 |
Number of Files | 1 |
Size | 442 KiB |
Context area | |
Author | 1 Moura, Eduardo Santiago 2 Gomes, Herman Martins 3 de Carvalho, Joćo Marques |
Affiliation | 1 Federal University of Campina Grande 2 Federal University of Campina Grande 3 Federal University of Campina Grande |
Editor | Boyer, Kim Hirata, Nina Nedel, Luciana Silva, Claudio |
e-Mail Address | hmg@computacao.ufcg.edu.br |
Conference Name | Conference on Graphics, Patterns and Images, 26 (SIBGRAPI) |
Conference Location | Arequipa, Peru |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2013-07-13 02:03:16 :: hmg@computacao.ufcg.edu.br -> administrator :: 2020-02-19 03:09:22 :: administrator -> :: 2013 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | speedup robust features, pairwise matching, face verification, Labeled Faces in the Wild, unsupervised protocol. |
Abstract | Human faces are known to present large variability due to factors like pose and facial expression variations, changes in illumination and occlusion, among others, thus making face verification a very challenging problem. In this paper we address the problem of face verification with special interest on how to reduce degradation usually associated with face images acquired under uncontrolled environments. The approach we propose in this paper starts with a preprocessing step to correct in-plane face orientation and to compensate for illumination changes. SURF features are then extracted, which adds to the method a certain degree of invariance to pose, facial expression and other sources of variation. Taking the SURF features as input, an original pairwise face matching procedure is performed. The resulting matching scores are stored in a similarity matrix, which is then evaluated. An experimental study has revealed that the proposed approach produced the best ROC curve when compared to published work regarding the unsupervised setup of the Labeled Faces in the Wild (LFW) face database. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/3EERDGB |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3EERDGB |
Language | en |
Target File | MouraGomesCarvalhov2.0 (1).pdf |
User Group | hmg@computacao.ufcg.edu.br |
Visibility | shown |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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