Résumé

Geometric and skin face characteristics were used, in this paper, to localize face in images.
In first stage, well known horizontal symmetric characteristic of face is exploited to localize
the vertical symmetry axis of the face, then to delimit its vertical position in the image. In
second stage, a neural network, trained to recognize pixel with skin characteristics, is used
to completely localize the face by delimiting the region surrounding the vertical symmetry
axis which colour characteristics agree with skin ones according to TSL colour space. At this
stage, we explore three strategies to perform region delimitation. Finally, a quantitative
measurement criterion is used to record localization quality. Experiments of the proposed
method were carried out on images of XM2VTS database and also on a set of non-standard
images.

Information

Item Type:	Journal
Divisions:	» Faculté des Sciences et de la Technologie
ePrint ID:	31
Date Deposited:	2014-10-30
Further Information:	Google Scholar
URI:	https://www.univ-soukahras.dz/fr/publication/article/31

BibTex