Arch Plast Surg.  2016 Mar;43(2):160-171. 10.5999/aps.2016.43.2.160.

Photogrammetric Analysis of Attractiveness in Indian Faces

Affiliations
  • 1Department of Orthodontics and Dentofacial Orthopedics, Kothiwal Dental College and Research Centre, Moradabad, India.
  • 2Department of Orthodontics, Kothiwal Dental College and Former Dean of Dental Faculty, KGMU, Lucknow, India.
  • 3Department of Statistics, Dongguk University, Seoul, Korea.
  • 4Moon's Aesthetic Surgery Clinic, Seoul, Korea.
  • 5Department of Plastic and Reconstructive Surgery, Ilsan Hospital, Dongguk University Medical Center, Goyang, Korea. artprs@naver.com

Abstract

BACKGROUND
The objective of this study was to assess the attractive facial features of the Indian population. We tried to evaluate subjective ratings of facial attractiveness and identify which facial aesthetic subunits were important for facial attractiveness.
METHODS
A cross-sectional study was conducted of 150 samples (referred to as candidates). Frontal photographs were analyzed. An orthodontist, a prosthodontist, an oral surgeon, a dentist, an artist, a photographer and two laymen (estimators) subjectively evaluated candidates' faces using visual analog scale (VAS) scores. As an objective method for facial analysis, we used balanced angular proportional analysis (BAPA). Using SAS 10.1 (SAS Institute Inc.), the Turkey's studentized range test and Pearson correlation analysis were performed to detect between-group differences in VAS scores (Experiment 1), to identify correlations between VAS scores and BAPA scores (Experiment 2), and to analyze the characteristic features of facial attractiveness and gender differences (Experiment 3); the significance level was set at P=0.05.
RESULTS
Experiment 1 revealed some differences in VAS scores according to professional characteristics. In Experiment 2, BAPA scores were found to behave similarly to subjective ratings of facial beauty, but showed a relatively weak correlation coefficient with the VAS scores. Experiment 3 found that the decisive factors for facial attractiveness were different for men and women. Composite images of attractive Indian male and female faces were constructed.
CONCLUSIONS
Our photogrammetric study, statistical analysis, and average composite faces of an Indian population provide valuable information about subjective perceptions of facial beauty and attractive facial structures in the Indian population.

Keyword

Beauty; Face; Photogrammetry; India; Sex; characteristics

MeSH Terms

Beauty
Cross-Sectional Studies
Dentists
Female
Humans
India
Male
Photogrammetry
Statistics as Topic
Visual Analog Scale
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