Abstract
Analysis of attractiveness of faces has long been a topic of research. Literature has identified many different factors that can be related to attractiveness. In this research we analyze the role of symmetry, neoclassical canons, and golden ratio in the determination of attractiveness of a face. We focus on the geometry of a face and use actual faces for our analysis. We find there are some differences in the criteria used by males and females to determine attractiveness. The model we have developed to predict the attractiveness of a face using its geometry is accurate with low residual errors.
Original language | English (US) |
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Pages (from-to) | 2710-2717 |
Number of pages | 8 |
Journal | Pattern Recognition |
Volume | 41 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2008 |
Keywords
- Face attractiveness
- Face recognition
- Face symmetry
- Golden ratio
- Neoclassical canons
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence