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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3EERDGB
Repositorysid.inpe.br/sibgrapi/2013/07.13.02.03
Last Update2013:07.13.02.03.16 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2013/07.13.02.03.16
Metadata Last Update2022:06.14.00.07.55 (UTC) administrator
DOI10.1109/SIBGRAPI.2013.57
Citation KeyMouraGomeCarv:2013:ImFaVe
TitleAn Improved Face Verification Approach based on Speedup Robust Features and Pairwise Matching
FormatOn-line.
Year2013
Access Date2024, May 01
Number of Files1
Size442 KiB
2. Context
Author1 Moura, Eduardo Santiago
2 Gomes, Herman Martins
3 de Carvalho, Joćo Marques
Affiliation1 Federal University of Campina Grande
2 Federal University of Campina Grande
3 Federal University of Campina Grande
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
e-Mail Addresshmg@computacao.ufcg.edu.br
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Conference LocationArequipa, Peru
Date5-8 Aug. 2013
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2013-07-13 02:03:16 :: hmg@computacao.ufcg.edu.br -> administrator ::
2022-06-14 00:07:55 :: administrator -> :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsspeedup robust features
pairwise matching
face verification
Labeled Faces in the Wild
unsupervised protocol
AbstractHuman 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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2013 > An Improved Face...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > An Improved Face...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3EERDGB
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3EERDGB
Languageen
Target FileMouraGomesCarvalhov2.0 (1).pdf
User Grouphmg@computacao.ufcg.edu.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SLB4P
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.04.02 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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