A Novel Approach of Face Detection Based on Skin Color Segmentation and PCA

被引：0

作者：

Zhang, Jing ^{[1
,2
]}

Liu, Yang ^{[2
]}

Ha, Seok-wun ^{[1
]}

机构：

[1] Gyeongsang Natl Univ, Dept Comp Sci, Pusan, South Korea

[2] Univ Sci & Technol Liaoning, Sch Comp Sci & Engn, Anshan, Peoples R China

来源：

PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE FOR YOUNG COMPUTER SCIENTISTS, VOLS 1-5 | 2008年

关键词：

face detection; PCA; segmentation; eigenface; color space;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Nowadays, face detection and recognition have gained importance in security and information access. In this paper, an efficient method of face detection based on skin color segmentation and principal components analysis(PC,I) is proposed. Firstly, segmenting image using color model to filter candidate faces roughly; And then Eye-analogue segments at a given scale are discovered by finding regions which are darker than their neighborhoods to filter candidate faces farther; at the end, PCA method is used to extract the relevant information in human faces.

引用

页码：1006 / +

页数：3

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