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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/QMyVx
Repositorysid.inpe.br/sibgrapi@80/2007/07.18.03.11
Last Update2007:07.18.03.11.24 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2007/07.18.03.11.26
Metadata Last Update2022:06.14.00.13.29 (UTC) administrator
DOI10.1109/SIBGRAPI.2007.13
Citation KeyMaiaGomeSouz:2007:AuEyLo
TitleAutomatic Eye Localization in Color Images
FormatPrinted, On-line.
Year2007
Access Date2024, May 04
Number of Files1
Size410 KiB
2. Context
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, MG, Brazil
Date7-10 Oct. 2007
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2007-07-18 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 ::
2022-06-14 00:13:29 :: administrator -> :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2007 > Automatic Eye Localization...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Automatic Eye Localization...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/QMyVx
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/QMyVx
Languageen
Target Filemaia-ColorImageEL.pdf
User Groupgilvanmaia@gmail.com
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SF8Q5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.00.14 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress group isbn issn label lineage mark mirrorrepository 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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