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

Kendra Schmid; David Marx; Ashok Samal

doi:10.1016/j.patcog.2007.11.022

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

Kendra Schmid, David Marx, Ashok Samal

Research output: Contribution to journal › Article › peer-review

136 Scopus citations

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)
Pages (from-to)	2710-2717
Number of pages	8
Journal	Pattern Recognition
Volume	41
Issue number	8
DOIs	https://doi.org/10.1016/j.patcog.2007.11.022
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

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10.1016/j.patcog.2007.11.022

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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.",

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author = "Kendra Schmid and David Marx and Ashok Samal",

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AU - Samal, Ashok

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AB - 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.

KW - Face attractiveness

KW - Face recognition

KW - Face symmetry

KW - Golden ratio

KW - Neoclassical canons

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

Abstract

Keywords

ASJC Scopus subject areas

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