Extraction of the human face from natural background using GAs

Yujin Suzuki, Hideo Saito, Shinji Ozawa

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

The study of human recognition is becoming more and more popular. For these tasks, there is need to cut off the facial region from the image. Here we propose a method which can automatically cut off the full human facial region from an image with natural background by the use of Genetic Algorithm and SNAKES. The use of Genetic Algorithm enables to search globally for the approximate size and position of the face and SNAKES enables to search robustly from this approximate contour to a more specific contour.

Original languageEnglish
Pages221-226
Number of pages6
Publication statusPublished - 1996 Dec 1
EventProceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) - Perth, Aust
Duration: 1996 Nov 261996 Nov 29

Other

OtherProceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2)
CityPerth, Aust
Period96/11/2696/11/29

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Suzuki, Y., Saito, H., & Ozawa, S. (1996). Extraction of the human face from natural background using GAs. 221-226. Paper presented at Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2), Perth, Aust, .