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@InProceedings{MaiaGomeSouz:2007:AuEyLo,
               author = "Maia, Jos{\'e} Gilvan Rodrigues and Gomes, Fernando de Carvalho 
                         and Souza, Osvaldo de",
          affiliation = "{Departamento de Computa{\c{c}}{\~a}o - Universidade Federal do 
                         Cear{\'a} (UFC)} and {Departamento de Computa{\c{c}}{\~a}o - 
                         Universidade Federal do Cear{\'a} (UFC)} and {Depto. de 
                         Engenharia de Teleinform{\'a}tica  Universidade Federal do 
                         Cear{\'a} (UFC)}",
                title = "Automatic Eye Localization in Color Images",
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes 
                         Vieira",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             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.",
  conference-location = "Belo Horizonte",
      conference-year = "Oct. 7-10, 2007",
             language = "en",
           targetfile = "maia-ColorImageEL.pdf",
        urlaccessdate = "2020, Oct. 26"
}


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