| 人脸检测实现算法研究 |
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| 引用本文： | 刘爽.人脸检测实现算法研究[J].价值工程,2011,30(26):133-133. |
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| 作者姓名： | 刘爽 |
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| 作者单位： | 广东省清远职业技术学院,清远,511500 |
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| 摘 要： | 本文总结回顾了人脸检测的主要内容、难点、分类、检测方法,主要是基于知识、基于模板、基于特征以及基于外观的方法,最后回顾了人脸检测算法的速度发展历程,其中P.Viola提出的Adaboost算法和Cascade算法使人脸检测从真正意义上走向实用。
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| 关 键 词： | 人脸检测 模板 特征 Adaboost Cascade Kullback-leible-Boosting |
A Survey on Face Detection |
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| Liu Shuang.A Survey on Face Detection[J].Value Engineering,2011,30(26):133-133. |
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| Authors: | Liu Shuang |
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| Institution: | Liu Shuang(Guangdong Provincial Qingyuan Polytechnic,Qingyuan 511500,China) |
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| Abstract: | This paper is mainly about the dominating approach to implementing face detection,which is based on knowledge,template,feature or appearance.In addition,the paper also talks about the difficulties of face detection and how to classify it.Last but not least,summary of the time complexity development of face detection is discussed.In particular,the Adaboost algorithm and Cascade algorithm proposed by P.Viola made face detection practical. |
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| Keywords: | face detection template feature Adaboost Cascade Kullback-leible-Boosting |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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