|Title:||The ENCARA system for face detection and normalization||Authors:||Castrillón, M.
Déniz Suárez, Oscar
|UNESCO Clasification:||120304 Inteligencia artificial||Issue Date:||2003||Journal:||Lecture Notes in Computer Science||Conference:||1st Iberian Conference on Pattern Recognition and Image Analysis||Abstract:||Facial image processing is becoming widespread in human-computer applications, despite its complexity. High-level processes such as face recognition or gender determination rely on low-level routines that must e ectively detect and normalize the faces that appear in the input image. In this paper, a face detection and normalization system is described. The approach taken is based on a cascade of fast, weak classi ers that together try to determine whether a frontal face is present in the image.||URI:||http://hdl.handle.net/10553/17668||ISBN:||3-540-40217-9||ISSN:||0302-9743||DOI:||10.1007/978-3-540-44871-6_21">10.1007/978-3-540-44871-6_21||Source:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 2652, p. 176-183|
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