[1]陈奋 张晓兰 张宁.基于几何形状的AdaBoost人脸检测算法研究[J].福建工程学院学报,2017,15(01):49-54.[doi:10.3969/j.issn.1672-4348.2017.01.011]
　Chen Fen,Zhang Xiaolan,Zhang Ning.Study on AdaBoost face testing algorithm based on geometry[J].Journal of FuJian University of Technology,2017,15(01):49-54.[doi:10.3969/j.issn.1672-4348.2017.01.011]
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基于几何形状的AdaBoost人脸检测算法研究()
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《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第15卷
期数:
2017年01期
页码:
49-54
栏目:
出版日期:
2017-02-25

文章信息/Info

Title:
Study on AdaBoost face testing algorithm based on geometry
作者:
陈奋 张晓兰 张宁
厦门城市职业学院电子与信息工程系
Author(s):
Chen Fen;  Zhang Xiaolan;  Zhang Ning
Electronics and Information Engineering Department, Xiamen City University
关键词:
AdaBoost算法;  人脸检测;  几何形状
Keywords:
AdaBoost algorithm;  face testing;  geometry
分类号:
TP391.4
DOI:
10.3969/j.issn.1672-4348.2017.01.011
文献标志码:
A
摘要:
介绍了AdaBoost人脸检测算法以及人脸符合的几何规则。考虑到使用AdaBoost人脸检测算法存在计算量比较大的问题，因此文中提出基于几何形状的AdaBoost人脸检测算法，改进了人脸检测分类器训练方法，降低了误检率，提高了人脸检测的计算速度。
Abstract:
The AdaBoost algorithm for human face detection and the geometric rules for the human face were described. A geometry-based Adoboost face testing algorithm was proposed to deal with the large amount of computation involved in the AdaBoost face testing algorithm. The results indicate that the modified algorithm can improve the face testing classifier training, reduce the false detection rate and upgrade the computing speed of face testing.

参考文献/References:

[1] Viola P,Jones M.Rapid object detection using a boosted cascade of simple features[J].TEEE Conf on Computer Vision and Pattern Recognition,2001（1）:511-518.
[2] Treptow A,Zell A.Combining Adaboost learning and evolutionary search to select features for real-time object detection[J]. Computer Vision and Pattern Recognition 2001. VPR 2001. CEC 2004 Congress on IEEE，2004(2):2107-2113.
[3] 姚忠清.视频监控中的人脸检测与跟踪[D].成都:四川大学,2005.
[4] Bo Wi, Ai Haizhou, Huang Chang,et al.Fast rotation invariant multi-view face detection based on real Adaboost[J]. Sixth IEEE International Conference on Automatic Face and Gesture Recognition,IEEE Xplore，2004,29(4):79-84.
[5] Zhang Zhenqiu, Li Mingling,Li S Z,et al. Multi-view face detection with F1oatBoost[C]//Sixth IEEE Workshop on Applications of Computer Vision,2002:184-188.
[6] Seshadrinathan M, Ben-Arie J. Pose invariant face detection[C]//Eurasip Conference Focused on Video/image Processing & Multimedia Communications, IEEE Xplore,2003（1）:405-410.
[7] 高环宇.网络敏感图像过滤系统的设计与实现[D].沈阳：东北大学，2008:13-29.

更新日期/Last Update: 2017-04-12