Subjective experiments on gender and ethnicity recognition from different face representations

Yuxiao Hu, Yun Fu, Usman Tariq, Thomas S Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The design of image-based soft-biometrics systems highly depends on the human factor analysis. How well can human do in gender/ethnicity recognition by looking at faces in different representations? How does human recognize gender/ethnicity? What factors affect the accuracy of gender/ethnicity recognition? The answers of these questions may inspire our design of computer-based automatic gender/ethnicity recognition algorithms. In this work, several subjective experiments are conducted to test the capability of human in gender/ethnicity recognition on different face representations, including 1D face silhouette, 2D face images and 3D face models. Our experimental results provide baselines and interesting inspirations for designing computer-based face gender/ethnicity recognition algorithms.

Original languageEnglish (US)
Title of host publicationAdvances in Multimedia Modeling - 16th International Multimedia Modeling Conference, MMM 2010, Proceedings
Pages66-75
Number of pages10
DOIs
StatePublished - Dec 1 2009
Event16th International Multimedia Modeling Conference on Advances in Multimedia Modeling, MMM 2010 - Chongqing, China
Duration: Oct 6 2010Oct 8 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5916 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International Multimedia Modeling Conference on Advances in Multimedia Modeling, MMM 2010
Country/TerritoryChina
CityChongqing
Period10/6/1010/8/10

Keywords

  • Ethnicity recognition
  • Face analysis
  • Gender recognition
  • Subjective experiment

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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