A method of face detection based on AdaBoost and neural networks

被引：0

作者：

Xiao, Xiaohuan ^{[1
]}

Peng, Manman ^{[1
]}

Zhou, Shuyang ^{[1
]}

机构：

[1] Hunan Univ, Sch Informat Sci & Engn, Changsha 410082, Hunan, Peoples R China

来源：

2012 2ND INTERNATIONAL CONFERENCE ON APPLIED ROBOTICS FOR THE POWER INDUSTRY (CARPI) | 2012年

关键词：

AdaBoost; BP neural networks; face detection;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes a new face detection method, combining AdaBoost algorithm and neural networks (NN). First, do a pretreatment of the human face image; then NN trains a series of weak classifiers, finally AdaBoost algorithm improves the accuracy of weak classifiers to achieve face detection. The experimental results show that AdaBoost-NN algorithm has better robustness and higher recognition rate, and the result is more objective and reasonable.

引用

页码：866 / 869

页数：4

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