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

Research output: Contribution to journalArticle

65 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)2710-2717
Number of pages8
JournalPattern Recognition
Volume41
Issue number8
DOIs
StatePublished - Aug 1 2008

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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

Cite this

Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios. / Schmid, Kendra K; Marx, David; Samal, Ashok K.

In: Pattern Recognition, Vol. 41, No. 8, 01.08.2008, p. 2710-2717.

Research output: Contribution to journalArticle

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