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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier6qtX3pFwXQZeBBx/GE85m
Repositorysid.inpe.br/banon/2005/07.04.15.04
Last Update2005:07.04.03.00.00 (UTC) administrator
Metadatasid.inpe.br/banon/2005/07.04.15.04.24
Metadata Last Update2020:02.19.03.19.07 (UTC) administrator
Citation KeyZanaCesaBarb:2005:AuFaRe
TitleAutomatic face recognition system based on local Fourier-Bessel features
FormatOn-line
Year2005
Access Date2021, Dec. 07
Number of Files1
Size470 KiB
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Author1 Zana, Yossi
2 Cesar-Jr, Roberto Marcondes
3 Barbosa, Regis de Abreu
Affiliation1 IME-USP
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-08-26 15:17:00 :: banon -> administrator ::
2009-08-13 20:37:42 :: administrator -> banon ::
2010-08-28 20:01:16 :: banon -> administrator ::
2020-02-19 03:19:07 :: administrator -> :: 2005
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsperception
biometrics
AbstractWe present an automatic face verification system inspired by known properties of biological systems. In the proposed algorithm the whole image is converted from the spatial to polar frequency domain by a Fourier-Bessel Transform (FBT). Using the whole image is compared to the case where only face image regions (local analysis) are considered. The resulting representations are embedded in a dissimilarity space, where each image is represented by its distance to all the other images, and a Pseudo-Fisher discriminator is built. Verification test results on the FERET database showed that the local-based algorithm outperforms the global-FBT version. The local-FBT algorithm performed as state-of-the-art methods under different testing conditions, indicating that the proposed system is highly robust for expression, age, and illumination variations. We also evaluated the performance of the proposed system under strong occlusion conditions and found that it is highly robust for up to 50% of face occlusion. Finally, we automated completely the verification system by implementing face and eye detection algorithms. Under this condition, the local approach was only slightly superior to the global approach.
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data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/GE85m
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/GE85m
Languageen
Target Filezana_fb.pdf
User Groupbanon
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Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress group holdercode isbn issn label lineage mark mirrorrepository 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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