Extraction of the human face from natural background using GAs

Yujin Suzuki; Hideo Saito; Shinji Ozawa

Extraction of the human face from natural background using GAs

Yujin Suzuki, Hideo Saito, Shinji Ozawa

Department of Information and Computer Science

Research output: Contribution to conference › Paper › peer-review

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 language	English
Pages	221-226
Number of pages	6
Publication status	Published - 1996 Dec 1
Event	Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) - Perth, Aust Duration: 1996 Nov 26 → 1996 Nov 29

Other

Other	Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2)
City	Perth, Aust
Period	96/11/26 → 96/11/29

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

Cite this

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title = "Extraction of the human face from natural background using GAs",

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.",

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year = "1996",

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AU - Saito, Hideo

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N2 - 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.

AB - 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.

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ER -

Extraction of the human face from natural background using GAs

Abstract

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ASJC Scopus subject areas

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