A detection method of face regions in color images by using evolutionally computation

Y. Mitsukura, M. Fukumi, N. Akamatsu

Research output: Contribution to conferencePaper

Abstract

This paper presents a new scheme to design a face detection system by using a genetic algorithm (GA). In particular, the object of this paper is to design a fast face detection system. A human being is the only animal who speaks a word and can express emotions remarkably. The language which a human being raises consists of vowels. Furthermore, a human emotion can be divided into five or more roughly. In other words, there are five emotions, "Neutral", "Happiness", "Sadness", "Anger", "Surprise". This paper pays attention to lips forms in human characteristics. Furthermore, in order to decrease the detection time, GA is used for the purpose of focusing on the lips in images. Finally, in order to demonstrate the effectiveness of the proposed scheme, we show simulation examples.

Original languageEnglish
Pages2253-2257
Number of pages5
Publication statusPublished - 2001 Jan 1
Externally publishedYes
EventInternational Joint Conference on Neural Networks (IJCNN'01) - Washington, DC, United States
Duration: 2001 Jul 152001 Jul 19

Other

OtherInternational Joint Conference on Neural Networks (IJCNN'01)
CountryUnited States
CityWashington, DC
Period01/7/1501/7/19

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ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

Mitsukura, Y., Fukumi, M., & Akamatsu, N. (2001). A detection method of face regions in color images by using evolutionally computation. 2253-2257. Paper presented at International Joint Conference on Neural Networks (IJCNN'01), Washington, DC, United States.