Title
Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios
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.
Year
DOI
Venue
2008
10.1016/j.patcog.2007.11.022
Pattern Recognition
Keywords
Field
DocType
face symmetry,neoclassical canons,face recognition,different factor,actual face,face attractiveness,low residual error,golden ratio,face attractiveness index,neoclassical canon,indexation
Residual,Facial recognition system,Computer vision,Pattern recognition,Image processing,Golden ratio,Facial symmetry,Attractiveness,Artificial intelligence,Biometrics,Mathematics,Computation
Journal
Volume
Issue
ISSN
41
8
Pattern Recognition
Citations 
PageRank 
References 
38
2.45
3
Authors
3
Name
Order
Citations
PageRank
Kendra Schmid1382.45
David Marx2795.70
A Samal31033213.54