Robust face detection for direction changing using evolutionary algorithms

Yasue Mitsukura, Kensuke Mitsukura, Minoru Fukumi, Norio Akamatsu, Sigeru Omatu

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

Abstract

Threshold selection in multi-value images is performed based on their color information. When the threshold in an image is fixed it lacks versatility for the others. Because the color information varies under the influence of light conditions. In this paper, a Genetic Algorithm (GA) is used to select the most likely values of lips and skin colors in a light condition. It is possible to extract objects from the multi-value image only with the color information. In this paper, the objects of extraction are chosen to be the human lips and skin colors.

Original languageEnglish
Title of host publicationProceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages870-873
Number of pages4
Volume2
ISBN (Print)0780378660
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 - Kobe, Japan
Duration: 2003 Jul 162003 Jul 20

Other

Other2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003
CountryJapan
CityKobe
Period03/7/1603/7/20

Keywords

  • Fast face detection
  • GA-threshold
  • Genetic algorithm

ASJC Scopus subject areas

  • Computational Mathematics

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  • Cite this

    Mitsukura, Y., Mitsukura, K., Fukumi, M., Akamatsu, N., & Omatu, S. (2003). Robust face detection for direction changing using evolutionary algorithms. In Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA (Vol. 2, pp. 870-873). [1222294] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIRA.2003.1222294