Prediction of facial attractiveness from facial proportions

Authors:
Jintu Fan;K. P. Chau;Xianfu Wan;Lili Zhai;Ethan Lau
Affiliations:
Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Venue:
Pattern Recognition
Year:
2012

Citing 1
Cited 1

Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios

Pattern Recognition

The cluster assessment of facial attractiveness using fuzzy neural network classifier based on 3D Moiré features

Pattern Recognition

Quantified Score

Hi-index	0.01

Visualization

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).