摘要
针对Android系统自带的人脸检测算法不能精确地检测人脸,尤其是带眼镜后,根本无法检测到人脸。本文研究了一种基于Android系统下的AdaBoost人脸检测算法。首先介绍了Android平台下的人脸检测体系结构,然后对AdaBoost人脸检测模块,包括特征值与特征值的计算、AdaBoost分类器、开发环境搭建分别进行了说明。最后通过样本创建,以及训练好的分类器进行人脸检测。实验结果表明:由于充分利用AdaBoost人脸检测方法实时性比较强、检测率高,该方法完全满足Android平台下人脸检测的需要。
Becacuse Android＇s own face detection algorithm cannot accurately detect the human face, especially wearing glasses can not detect the human face. In this paper, we study a kind of AdaBoost face detection algorithm based on Android system. Firstly, introduce the Android platform of face detection system structure, then account for the AdaBoost face detection module, including eigenvalue , eigenvalue calculation, AdaBoost classifier and set up the development environment. Finally create the sample and the trained classifier for face detection. The experimental results show that： due to take full advantage of AdaBoost face detection method is more real-time, high detection rate, the method is fully meet the needs of the Android platform face detection.
出处
《电子设计工程》
2014年第8期126-130,共5页
Electronic Design Engineering
基金
国家自然科学基金项目(61201392)
关键词
人脸检测
分类器
样本创建
face detection
Android
AdaBoost
classifier
create sample
