| AdaBoost 及其改进算法综述 |
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| 引用本文： | 廖红文,周德龙.AdaBoost 及其改进算法综述[J].计算机系统应用,2012,21(5):240-244. |
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| 作者姓名： | 廖红文 周德龙 |
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| 作者单位： | 浙江工业大学计算机科学与技术学院,杭州310000 |
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| 摘 要： | AdaBoost算法是目前人脸检测领域最有效的方法之一,自该算法提出以来,很多研究者做了深入的研究分析和改进工作。基于AdaBoost算法受到众多研究者的重视,综述了AdaBoost及其改进算法。从AdaBoost算法出发,着重分析了AdaBoost算法的优缺点,并以此为基础对其改进算法作系统的分析和介绍,对改进算法进行了简单归类。最后,指出了算法未来的几个发展方向。
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| 关 键 词： | AdaBoost 分类器 特征 人脸检测 积分图像 |
| 收稿时间： | 2011/8/29 0:00:00 |
| 修稿时间： | 2011/9/24 0:00:00 |
Review of AdaBoost and Its Improvement |
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| LIAO Hong-Wen and ZHOU De-Long.Review of AdaBoost and Its Improvement[J].Computer Systems& Applications,2012,21(5):240-244. |
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| Authors: | LIAO Hong-Wen and ZHOU De-Long |
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| Affiliation: | (School of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310000,China) |
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| Abstract: | The AdaBoost algorithm is one of the most effective methods in area of Face Detection.Since this algorithm has been proposed,many indepth research and analysis and improvement was provided by researchers.This paper reviewed AdaBoost algorithm and its improvement.Beginning with AdaBoost algorithm,we focus on analyzing the adavantages and disadvantages of AdaBoost algorithm.After this,we made systematic analysis and presentation on these improvements,including simple classification.Finally,we conclude with several promising directions for future research. |
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| Keywords: | AdaBoost classifier feature face detection integral image |
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