| Identity statement area | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Repository | sid.inpe.br/sibgrapi@80/2007/07.18.03.11 |
| Last Update | 2007:07.18.03.11.24 administrator |
| Metadata | sid.inpe.br/sibgrapi@80/2007/07.18.03.11.26 |
| Metadata Last Update | 2020:02.19.03.06.18 administrator |
| Citation Key | MaiaGomeSouz:2007:AuEyLo |
| Title | Automatic Eye Localization in Color Images  |
| Format | Printed, On-line. |
| Year | 2007 |
| Date | Oct. 7-10, 2007 |
| Access Date | 2021, Jan. 19 |
| Number of Files | 1 |
| Size | 410 KiB |
| Context area | |
| Author | 1 Maia, José Gilvan Rodrigues 2 Gomes, Fernando de Carvalho 3 Souza, Osvaldo de |
| Affiliation | 1 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) |
| Editor | Falcão, Alexandre Xavier Lopes, Hélio Côrtes Vieira |
| Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI) |
| Conference Location | Belo Horizonte |
| Book Title | Proceedings |
| Publisher | IEEE Computer Society |
| Publisher City | Los Alamitos |
| Tertiary Type | Full Paper |
| History | 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 :: 2020-02-19 03:06:18 :: administrator -> :: 2007 |
| Content and structure area | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Keywords | Biometrics, eye detection, eye localization. |
| Abstract | In 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. |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| Conditions of access and use area | |
| data URL | http://urlib.net/rep/sid.inpe.br/sibgrapi@80/2007/07.18.03.11 |
| zipped data URL | http://urlib.net/zip/sid.inpe.br/sibgrapi@80/2007/07.18.03.11 |
| Language | en |
| Target File | maia-ColorImageEL.pdf |
| User Group | gilvanmaia@gmail.com administrator |
| Visibility | shown |
| Allied materials area | |
| Mirror Repository | dpi.inpe.br/banon-pc2@80/2006/08.30.19.27 |
| 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 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 |