Problems connected with application of neural networks in automatic face recognition

被引：0

作者：

Komanski, R ^{[1
]}

Macukow, B ^{[1
]}

机构：

[1] Warsaw Univ Technol, Fac Math & Informat Sci, PL-00661 Warsaw, Poland

来源：

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2004 | 2004年 / 3070卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of possible solutions in creating an automatic system of face recognition is application of auto-associative neural networks for remembering and recognise two-dimensional face images. Experiments with applying the Hopfield network and twolayer perceptron confirmed the possibility of remembering and reproducing face images, even if partially covered or disturbed. Limited technical possibilities enable using only low definition images. It is due to the fact that computations take a long time, and the number of remembered faces is relatively small. Proper working of the network is influenced in a significant way by light and facial expressions.

引用

页码：736 / 741

页数：6

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