• DocumentCode
    3585840
  • Title

    Anthropometric classification of nasal indexes for a Sri Lankan undergraduate student population

  • Author

    Rajapakse, R.N. ; Sandaruwan, K.D. ; Karunaratne, D.D. ; Vidanapathirana, Muditha

  • fYear
    2014
  • Firstpage
    261
  • Lastpage
    261
  • Abstract
    Whilst the human nose is a predominant facial feature of ones face where it is used in assessing ones beauty, in the field of anthropometric studies, its index is used in a number of clinical and forensic practices. This index is the most commonly used method in classifying the human nose into different categories. The calculation of which is done by dividing the nasal breadth by the nasal height and multiplying the result by 100, where; Nasal breath: Maximum breadth of the nasal cavity (at right angles to the nasal height), from alare to alare (al) Nasal height: height from nasion (n) to nasospinale (ns).
  • Keywords
    face recognition; feature extraction; image classification; object detection; Sri Lankan undergraduate student population; anthropometric classification; facial feature; human nose classification; nasal breadth; nasal cavity; nasal height; nasal index classification; Anthropometric comparison; FaceSDK; Nasal Index; Sri Lanka;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in ICT for Emerging Regions (ICTer), 2014 International Conference on
  • Print_ISBN
    978-1-4799-7731-4
  • Type

    conf

  • DOI
    10.1109/ICTER.2014.7083919
  • Filename
    7083919