Face and eye detection using PCA and SVM in color images

被引：0

作者：

Shih, FY ^{[1
]}

Cheng, SX ^{[1
]}

Chuang, CF ^{[1
]}

机构：

[1] New Jersey Inst Technol, Coll Comp Sci, Comp Vis Lab, Newark, NJ 07102 USA

来源：

PROCEEDINGS OF THE 7TH JOINT CONFERENCE ON INFORMATION SCIENCES | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the techniques of face and eye detection using Principal Component Analysis (PCA) and Support Vector Machine (SVM) in color images are presented. Skin color regions are first segmented according to a Gaussian skin-color model. We verify whether a skin region is a face candidate by using factors of size, shape, and PCA. After the face region is obtained, eyes can be detected using an ellipse model and SVM. The experimental results show that our algorithm works successfully for a large range of color images.

引用

页码：731 / 734

页数：4

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