Reference TypeConference Proceedings
Citation KeyMaiaGomeSouz:2007:AuEyLo
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)
TitleAutomatic Eye Localization in Color Images
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Book TitleProceedings
DateOct. 7-10, 2007
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationBelo Horizonte
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.
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size410 KiB
Number of Files1
Target Filemaia-ColorImageEL.pdf
Last Update2007: administrator
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