• DocumentCode
    2317395
  • Title

    Fine tuning facial harmony assesment model to individual countries

  • Author

    Ozkul, Tarik ; Ozkul, M. Haluk

  • Author_Institution
    Comput. Sci. & Eng. Dept., American Univ. of Sharjah, Sharjah, United Arab Emirates
  • fYear
    2012
  • fDate
    24-26 March 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Research indicated that many facial parameters contribute to generation of a “harmonious face” which is makes it more appealing to observers. There are different theories developed on which and how these parameters blend in to make a harmonious face. Determination of these parameters and the method of determining “facial harmony” is important since achieving a harmonious face is the primary goal in dental and aesthetic surgical procedures. A model developed for computer-aided assessment of facial harmony provides computerized assessment of facial harmony by using patient´s images before and after the surgical procedures. The model utilizes “theory of averages” as a mechanism for measurement of facial harmony which is widely used by most aesthetic surgeons and orthodontists for assessment of facial proportions of the patient. The output of the developed model is an index which reflects the degree of harmony of facial features and how well they blend into each other. The constructed model so far has assumed same parameters would be valid for all Caucasian males as long as they are Caucasian in origin. Same assumption was valid for females. In this study we question the claim of fixed parameters and try to fine tune the model by determining how some parameters change from one country to another.
  • Keywords
    face recognition; fuzzy logic; medical image processing; Caucasian males; aesthetic surgeons; aesthetic surgical procedures; computer-aided assessment; dental procedures; facial parameters; fine tuning facial harmony assesment model; harmonious face; orthodontists; Computational modeling; Face; Facial features; Fuzzy logic; Indexes; Pragmatics; Surgery; beauty asessment; facial harmony; fuzzy logic model; harmony index; intelligent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and e-Services (ICITeS), 2012 International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4673-1167-0
  • Type

    conf

  • DOI
    10.1109/ICITeS.2012.6216616
  • Filename
    6216616