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Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Repositorysid.inpe.br/sibgrapi@80/2007/07.18.03.11
Last Update2007:07.18.03.11.24 administrator
Metadatasid.inpe.br/sibgrapi@80/2007/07.18.03.11.26
Metadata Last Update2020:02.19.03.06.18 administrator
Citation KeyMaiaGomeSouz:2007:AuEyLo
TitleAutomatic Eye Localization in Color Images
FormatPrinted, On-line.
Year2007
DateOct. 7-10, 2007
Access Date2020, Dec. 04
Number of Files1
Size410 KiB
Context area
Author1 Maia, José Gilvan Rodrigues
2 Gomes, Fernando de Carvalho
3 Souza, Osvaldo de
Affiliation1 Departamento de Computação - Universidade Federal do Ceará (UFC)
2 Departamento de Computação - Universidade Federal do Ceará (UFC)
3 Depto. de Engenharia de Teleinformática – Universidade Federal do Ceará (UFC)
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
History2007-07-18 03:11:26 :: gilvanmaia@gmail.com -> administrator ::
2007-08-02 21:17:21 :: administrator -> gilvanmaia@gmail.com ::
2008-07-17 14:09:42 :: gilvanmaia@gmail.com -> administrator ::
2009-08-13 20:38:21 :: administrator -> banon ::
2010-08-28 20:02:27 :: banon -> administrator ::
2020-02-19 03:06:18 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Document Stagecompleted
Transferable1
Content TypeExternal Contribution
Tertiary TypeFull Paper
KeywordsBiometrics, eye detection, eye localization.
AbstractIn this paper, we present a new efficient method for accurate eye localization in color images. Our algorithm is based on robust feature filtering and explicit geometric clustering. This combination enhances localization speed and robustness by relying on geometric relationships between pixel clusters instead of other properties extracted from the image. Furthermore, its efficiency makes it well suited for implementation in low performance devices, such as cell phones and PDAs. Experiments were conducted with 1532 face images taken from a CCD camera under (real-life) varying illumination, pose and expression conditions. The proposed method presented a localization rate of 94.125% under such circumstances.
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Languageen
Target Filemaia-ColorImageEL.pdf
User Groupgilvanmaia@gmail.com
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Mirror Repositorydpi.inpe.br/banon-pc2@80/2006/08.30.19.27
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 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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