DocumentCode :
2432024
Title :
An apparent age estimation system using the evolutionary algorighm
Author :
Fukai, Hironobu ; Takimoto, Hironori ; Mitsukura, Yasue ; Fukumi, Minom
Author_Institution :
Tokyo Univ. of Agric. & Technol., Tokyo
fYear :
2007
fDate :
17-20 Oct. 2007
Firstpage :
2146
Lastpage :
2149
Abstract :
The age is one of important information in our living. If the age estimation that uses face image by computer becomes possible, it is thought that the age estimation assumes an important role in various scenes. In this paper, we propose an age estimation by using the supervised SOM. Further, the important features for the age estimation are selected by the GA.
Keywords :
ageing; face recognition; genetic algorithms; self-organising feature maps; apparent age estimation system; evolutionary algorithm; face image estimation; genetic algorithm; supervised self-organizing map; Agricultural engineering; Agriculture; Automatic control; Automation; Control engineering; Control systems; Feature extraction; Humans; Shape; Systems engineering and theory; age estimation; genetic algorithm(GA); self-organizing map(SOM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems, 2007. ICCAS '07. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-6-2
Electronic_ISBN :
978-89-950038-6-2
Type :
conf
DOI :
10.1109/ICCAS.2007.4406686
Filename :
4406686
Link To Document :
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