PI Diagram Based Face Detection with AdaBoost in Color Image

被引：0
|
作者：
Gao, ZhiSheng [1 ]
Xie, ChunZhi [1 ]
机构：
[1] Xihua Univ, Sch Math & Comp Engn, Chengdu, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL II, PROCEEDINGS | 2009年
关键词：
PCA; PI Diagram; Face Detection; Adaboost;
D O I：
10.1109/AICI.2009.261
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a novel method for detecting faces in color images using Ada Boost algorithm combined with PI diagram. First, potential face area is detected using PI diagram which is constructed by the principal vector of image's RGB vectors and illumination intensity. Then, the full areas are gotten by the growth algorithm. Finally, these face candidates are scanned by the cascade classifier based on Ada Boost for more accurate face detection. Experiments show that our approach is accurate than Ada Boost and has lower error detected rate than Skin color method.
引用
收藏
页码：432 / 435
页数：4
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