Automatic eye localization in color images

• Autor(a) principal: Maia, José Gilvan Rodrigues
• Data de Publicação: 2007
• Outros Autores: Gomes, Fernando de Carvalho, Souza, Osvaldo de
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
• Texto Completo: http://www.repositorio.ufc.br/handle/riufc/22638
• topic: Accurate eye localization in color images; CLUED: clustering-based eye detect

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.