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

Authors:
Kendra Schmid;David Marx;Ashok Samal
Affiliations:
Department of Biostatistics, University of Nebraska Medical Center, 984375 Nebraska Medical Center, Omaha, NE 68198-4375, USA;Department of Statistics, University of Nebraska-Lincoln, Lincoln, NE 68588, USA;Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, USA
Venue:
Pattern Recognition
Year:
2008

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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.