Advances in computational facial attractiveness methods

Shu Liu, Yang Yu Fan, Ashok Samal, Zhe Guo

Research output: Contribution to journalArticlepeer-review

36 Scopus citations


Attractiveness of a face plays an important role in many social endeavors. It influences careers like digital entertainment, modeling and acting, as well as person’s career prospect, financial status, and personal relationships. Computational approaches to exploring the nature and components of face attractiveness have been proposed, and have become an emerging topic in facial analysis research. Integrating techniques from image processing, computer vision and machine learning, this subarea aims to develop computational methods to quantify and investigate the attractiveness of a face. This paper summarizes the most recent advances in four related aspects of face attractiveness: (a) facial attractiveness prediction, (b) facial attractiveness enhancement, (c) lateral facial attractiveness and (d) 3D facial attractiveness. The motivations, innovative techniques, and significant results are summarized and discussed. The open problems in these areas and directions for future work are also briefly stated.

Original languageEnglish (US)
Pages (from-to)16633-16663
Number of pages31
JournalMultimedia Tools and Applications
Issue number23
StatePublished - Dec 1 2016

ASJC Scopus subject areas

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications


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