|Title:||Face description for perceptual user interfaces||Authors:||Castrillón-Santana, M.
|UNESCO Clasification:||120304 Inteligencia artificial||Keywords:||Images
|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
|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|
This item is licensed under a Creative Commons License