Face description for perceptual user interfaces

Authors:
M. Castrillón-Santana;J. Lorenzo-Navarro;D. Hernández-Sosa;J. Isern-González
Affiliations:
IUSIANI, Edificio Central del Parque Científico-Tecnológico, Campus Universitario de Tafira, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain;IUSIANI, Edificio Central del Parque Científico-Tecnológico, Campus Universitario de Tafira, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain;IUSIANI, Edificio Central del Parque Científico-Tecnológico, Campus Universitario de Tafira, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain;IUSIANI, Edificio Central del Parque Científico-Tecnológico, Campus Universitario de Tafira, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain
Venue:
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
Year:
2005

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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 different face representation approaches: Principal Components Analysis (PCA) and Gabor filters. The results achieved using a Support Vector Machine (SVM) based classifier are promising and particularly better for the second representation approach.