摘要
为了快速而准确地在复杂背景的灰度或彩色图像中检测人脸,对实时人脸检测方法做了一些扩展并根据该方法设计实现了一个快速人脸检测系统,系统分为训练和检测两部分,训练方法为AdaBoost算法。测试表明该系统的性能较好。
In order to detect faces in gray or color images at high speed and accuracy, some extension to the technology of real-time face detection were made and a rapid face detection system was designed and realized. The training subsystem is based on AdaBoost algorithm. The experiment results show that the extension to Viola＇ s technology is quite successful. The rapid face detection system is divided into two parts, training（ or learning） subsystem and detecting subsystem.
出处
《计算机应用》
CSCD
北大核心
2005年第10期2351-2353,共3页
journal of Computer Applications
