Human faces detection method using genetic algorithm

Yuuki Yokoo, Masafumi Hagiwara

Research output: Contribution to conferencePaper

12 Citations (Scopus)

Abstract

A novel method to detect human facial regions from an image with a complex background has been proposed. To detect human facial regions precisely without imposing any constraints on face size, positions and any features such as glasses, beard and so on, the method employs Genetic Algorithm (GA). First, proposed method detects edges from an input image. Second, it searches ellipse regions using GA based on the idea that human faces can be approximated by ellipsoid. Finally, it judges whether the region is a human face or not one by one. We confirmed by computer simulations that the proposed method could detect human facial regions from various images.

Original languageEnglish
Pages113-118
Number of pages6
Publication statusPublished - 1996 Jan 1
EventProceedings of the 1996 IEEE International Conference on Evolutionary Computation, ICEC'96 - Nagoya, Jpn
Duration: 1996 May 201996 May 22

Other

OtherProceedings of the 1996 IEEE International Conference on Evolutionary Computation, ICEC'96
CityNagoya, Jpn
Period96/5/2096/5/22

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Yokoo, Y., & Hagiwara, M. (1996). Human faces detection method using genetic algorithm. 113-118. Paper presented at Proceedings of the 1996 IEEE International Conference on Evolutionary Computation, ICEC'96, Nagoya, Jpn, .