Neural network for classifying faces by gender

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F02%3APU29366" target="_blank" >RIV/00216305:26220/02:PU29366 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Neural network for classifying faces by gender

Original language description

In this paper we present an overview of the using of the Principal components analysis for face recognition using neural networks. Using gender as discriminative features improve the classification robustness. As we show the faces are different only by one eigenvector. By changing one of the eigenvectors we can generate a different person-image. This property will be used for classification face images by gender.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2002

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Telecommunications and Signal Processing

ISBN

80-214-2172-X

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

134-137

Publisher name

Neuveden

Place of publication

Brno

Event location

Brno

Event date

Sep 4, 2002

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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