Mohammed Saaidia, Sylvie LELANDAIS and Messaoud RAMDANI (2008) Online Quality measurement of face localization obtained by neural networks trained with Zernike moments feature vectors. Image Processing, !theory, Tools and Applications –IPTA\'08 , Sousse (Tunisia)
Scientific Publications
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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://univ-soukahras.dz/en/publication/article/32 |
BibTex
@inproceedings{uniusa32,
title={Online Quality measurement of face localization obtained by neural networks trained with Zernike moments feature vectors},
author={Mohammed Saaidia, Sylvie LELANDAIS and Messaoud RAMDANI},
year={2008},
booktitle={Image Processing, !theory, Tools and Applications –IPTA\'08}
}
title={Online Quality measurement of face localization obtained by neural networks trained with Zernike moments feature vectors},
author={Mohammed Saaidia, Sylvie LELANDAIS and Messaoud RAMDANI},
year={2008},
booktitle={Image Processing, !theory, Tools and Applications –IPTA\'08}
}