Skip to main navigation Skip to search Skip to main content

Automatic Comparison of Ecuadorian Facial Features with Marquardt Beauty Mask

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Surgical specialists use facial analysis tools to evaluate human beauty, particularly in the context of reconstructive procedures. Among the tools used to perform facial analysis is the Marquardt Beauty Mask, a mask developed by Stephen Marquardt that represents the perfect proportions a face should have. This article shows the implementation of a web tool that uses computer vision to extract the differences between the proportions of the mask, considered an ideal model of beauty, and a facial photograph of a person. In addition, we performed a statistical analysis of the differences found between the features of 432 facial photographs of Ecuadorians and the mask. The results reveal that Ecuadorian faces, across all ethnicities and genders, show significant deviations in three of the four key distances used to evaluate the mask’s suitability. Only one distance aligns closely with the ideal proportions defined by the mask, with over 90% of individuals meeting this criterion. According to the results, the measures calculated on the faces differ considerably from those in the Marquardt Beauty mask. These differences show that Ecuadorians have faces that are wider and longer than the mask. Therefore, the widespread use of tools built for a single archetype of people could be inaccurate in evaluating the harmony and symmetry of a face.

Original languageEnglish
Title of host publicationRobotics, Computer Vision and Intelligent Systems - 5th International Conference, ROBOVIS 2025, Proceedings
EditorsJuha Röning, Joaquim Filipe
PublisherSpringer Science and Business Media Deutschland GmbH
Pages182-192
Number of pages11
ISBN (Print)9783032009852
DOIs
StatePublished - 2026
Event5th International Conference on Robotics, Computer Vision and Intelligent Systems, ROBOVIS 2025 - Porto, Portugal
Duration: 25 Feb 202527 Feb 2025

Publication series

NameCommunications in Computer and Information Science
Volume2629 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference5th International Conference on Robotics, Computer Vision and Intelligent Systems, ROBOVIS 2025
Country/TerritoryPortugal
CityPorto
Period25/02/2527/02/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Keywords

  • Ethnic groups
  • Face detection
  • Golden ratio
  • Image processing

Cite this