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
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;
Conference_Titel :
Advances in ICT for Emerging Regions (ICTer), 2014 International Conference on
Print_ISBN :
978-1-4799-7731-4
DOI :
10.1109/ICTER.2014.7083919