• 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
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2432024