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Caricatural effects in automated face perception

โœ Scribed by R. Brunelli; T. Poggio


Book ID
104660330
Publisher
Springer-Verlag
Year
1993
Tongue
English
Weight
911 KB
Volume
69
Category
Article
ISSN
0340-1200

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โœฆ Synopsis


This paper analyzes properties of a certain class of approximation techniques-HyperBF networks -in face perception tasks. The problem of gender classification and identification is addressed using a geometrical description of faces, extracted automatically from digitized pictures of frontal views of people without facial hair. The HyperBF networks perform satisfactorily on the classification tasks and exhibit the phenomenon of caricaturing, previously reported in psychophysical experiments.


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