Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/17668
Title: The ENCARA system for face detection and normalization
Authors: Castrillón, M. 
Déniz Suárez, Oscar
Hernández, M. 
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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