Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/17530
Title: Face description for perceptual user interfaces
Authors: Castrillón-Santana, M. 
Lorenzo-Navarro, J. 
Hernandez-Sosa, D. 
Isern-González, J. 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Images
Cortex
Issue Date: 2006
Journal: Lecture Notes in Computer Science 
Conference: 11th Conference of the Spanish-Association-for-Artificial-Intelligence 
11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005 
Abstract: We investigate mechanisms which can endow the computer with the ability of describing a human face by means of computer vision techniques. This is a necessary requirement in order to develop HCI approaches which make the user feel himself/herself perceived. This paper describes our experiences considering gender, race and the presence of moustache and glasses. This is accomplished comparing, on a set of 6000 facial images, two di erent face representation approaches: Principal Components Analysis (PCA) and Gabor lters. The results achieved using a Support Vector Machine (SVM) based classi er are promising and particularly better for the second representation approach.
URI: http://hdl.handle.net/10553/17530
ISBN: 3-540-45914-6
9783540459149
ISSN: 0302-9743
DOI: 10.1007/11881216_24
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 4177 LNAI, p. 221-230
Appears in Collections:Actas de congresos
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