Abstract

Quality measurement of face localization using neural networks is presented in this communication. First, neural network was trained with Zernike moments feature parameters vectors. Coordinate vectors of pixels surrounding faces in images were used as target vectors on the supervised training procedure. Thus, trained neural network provides on its output layer a coordinate\'s vector representing pixels surrounding the face contained in treated image. In second stage, another neural network, trained using TSL color space of images, is used to give a measure quantifying the quality of the localization obtained in the first stage. Experiments of the proposed method were carried out on the XM2VTS database.

Information

Item Type:	Conference
Divisions:	» Faculty of Science and Technology
ePrint ID:	32
Date Deposited:	2014-10-30
Further Information:	Google Scholar
URI:	https://www.univ-soukahras.dz/en/publication/article/32

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