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 language | English |
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Pages (from-to) | 2326-2334 |
Number of pages | 9 |
Journal | Pattern Recognition |
Volume | 45 |
Issue number | 6 |
DOIs | |
Publication status | Published - 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