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基于OpenCV和Adaboost算法的人脸检测 被引量:6

Face Detection Based on Adaboost Algorithm and OpenCV
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摘要 随着信息技术的高速发展,人脸检测作为人脸识别的第一步具有越来越广泛的使用价值和研究意义,成为了计算机视觉和模式识别领域的热点。介绍了Adaboost人脸检测算法的原理及训练方法流程,利用OpenCV图像处理软件设计并实现了一种简单的基于Adaboost算法的人脸检测系统。 With the rapid development of information technology,Face-Detection as the first step of Face-Recognition with more and more extensive practical value,has become a hot research of computer vision and pattern recognition.In this paper,the principle and training flow detector of Adaboost face-detection is introduced detailedly.A face-detection system based on Adaboost is designed and realized by imaging processing software OpenCV.
出处 《机械管理开发》 2012年第1期185-186,188,共3页 Mechanical Management and Development
关键词 人脸检测 OPENCV ADABOOST face detection openCV adaboost
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同被引文献48

  • 1刘辉权,肖天贵,邱静雅.气象预报预警系统开发中VB与GrADS、FORTRAN混合编程技术[J].成都信息工程学院学报,2011,26(2):208-214. 被引量:5
  • 2李武军,王崇骏,张炜,陈世福.人脸识别研究综述[J].模式识别与人工智能,2006,19(1):58-66. 被引量:107
  • 3朱谊强,张洪才,程咏梅,杨涛,赵春晖.基于Adaboost算法的实时行人检测系统[J].计算机测量与控制,2006,14(11):1462-1465. 被引量:13
  • 4徐霞平.复杂交通环境下的人体运动目标识别算法研究[J].长沙理工大学,2012.
  • 5Yoav Freundand Robert E.Schapire. Adecision the oreticgeneralization of online learning and an application to boosting. Journal of Computer and System Sciences,55(1):119 139,August 1997.
  • 6Paul Viola,Michael Jones. Rapid Object Detection Using adaboosted Cascade of Simple Feature[C]. Computer Vision and Pattern Recognition, 2001.
  • 7Paul Viola,Michael Jones. Robust Real Time Object Detection[C]. ln:Proc. Of IEEE Workshop and Statistical and Computational Theories of Vision, 2001.
  • 8Rainer Lienhart and Jochen Maydt. An Extened Set of Haar-like Features For Rapid Object Dectection[M]. Submitted to ICIP2002.
  • 9Alexander Kuranov, Rainer Lienhart,and Vadim Pisarevsky. An Empirical Analysis of Boosting Algorithms for Rapid With An Extended Set of Haar-like Features[C]. lntel Technical Report MRL- TRJuly02-01,2002.
  • 10Viola P, Jones M, Snow D. Detecting pedestrians using pat-terns of motion and appearance[J]. Com- puter Vision, 2005(2)..153 161.

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