| Adaboost算法在人脸检测中的应用 |
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| 引用本文： | 叶延亮.Adaboost算法在人脸检测中的应用[J].北华大学学报(自然科学版),2007,8(5):451-453. |
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| 作者姓名： | 叶延亮 |
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| 作者单位： | 北华大学,科研处,吉林,吉林,132013 |
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| 摘 要： | 针对人脸检测的特点,详细叙述了检测中应用的特征值的计算以及积分图的使用,给出了基于Adaboost算法的弱分类器选取和单个强分类器的训练过程,以及最后的层叠分类器的具体组成形式.基于此算法的人脸检测具有检测率高、速度快、对于光照变化适应性强的特点,能够达到实时检测的要求.
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| 关 键 词： | 人脸检测 矩形特征 积分图 层叠分类器 |
| 文章编号： | 1009-4822（2007）05-0451-03 |
| 修稿时间： | 2007-07-02 |
Application of Adaboost Algorithm in Face Detection |
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| YE Yan-liang.Application of Adaboost Algorithm in Face Detection[J].Journal of Beihua University(Natural Science),2007,8(5):451-453. |
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| Authors: | YE Yan-liang |
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| Institution: | Scientific Research Department of Beihua University ,Jilin 132013, China |
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| Abstract: | The paper describes a way of computing visual features and how to use integral image to compute features rapidly for the characteristic of face detection in details.It shows the training process of critical visual features,combining method of an extremely efficient classifier and method for combining classifiers in a "cascade".The face detection based on Adaboost is a visual object detection that is capable of processing images rapidly while achieving high detection rates,adapting to the variety of illumination. |
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| Keywords: | Face detection Rectangle feature Integral image Classifiers in a cascade |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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