Prediction of facial attractiveness from facial proportions

Jintu Fan, K.P. Chau, X. Wan, L. Zhai, E. Lau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

41 Citations (Scopus)

Abstract

This study investigates the relationship between facial attractiveness and facial proportions. Here, we generated facial images with different proportions using computer software, hence avoided the influence of hairstyle, facial expression as well as skin tone and texture on the perception of facial attractiveness. By analyzing the relationship between the facial proportions of 432 computer generated facial images and their attractiveness ratings, here we identified the optimum proportions for an attractive female face and further established a model of predicting facial attractiveness from four principle components of facial proportions with good predictability (R 2=0.64). © 2011 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)2326-2334
Number of pages9
JournalPattern Recognition
Volume45
Issue number6
DOIs
Publication statusPublished - 1 Jun 2012

Keywords

  • Face recognition
  • Facial attractiveness
  • Facial proportion
  • Golden ratios
  • Neoclassical cannons

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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