| 基于DCT特征与SVM分类的人脸检测 |
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| 引用本文： | 郑文侃,黄冠华,杨海城,洪景新.基于DCT特征与SVM分类的人脸检测[J].厦门大学学报(自然科学版),2007,46(6):788-791. |
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| 作者姓名： | 郑文侃 黄冠华 杨海城 洪景新 |
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| 作者单位： | 厦门大学信息科学与技术学院,福建,厦门,361005 |
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| 基金项目： | 面向21世纪教育振兴行动计划(985计划) |
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| 摘 要： | 一般的人脸检测在运行时间及检测率上都不能得到很好的保证.本文提出了基于离散余弦变换的支持向量机的人脸检测方法,利用离散余弦变化后的系数作为支持向量机的输入特征,实验表明该方法具有更好的检测效果.实验还表明,在采用离散余弦变换系数作为检测特征值时,检测准确率并不是随着所选取特征值个数的增加而提高.
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| 关 键 词： | 人脸检测 离散余弦 支持向量机 |
| 文章编号： | 0438-0479（2007）06-0788-04 |
| 修稿时间： | 2006-11-24 |
Face Detection Based on DCT Eigenvalue and SVM Classification |
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| ZHENG Wen-kan,HUANG Guan-hua,YANG Hai-cheng,HONG Jing-xin.Face Detection Based on DCT Eigenvalue and SVM Classification[J].Journal of Xiamen University(Natural Science),2007,46(6):788-791. |
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| Authors: | ZHENG Wen-kan HUANG Guan-hua YANG Hai-cheng HONG Jing-xin |
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| Institution: | School of Information Science and Technology,Xiamen University, Xiamen 361005 ,China |
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| Abstract: | Usually the runtime and detection rate of face detection were unsatisfactory.In this paper,we presented a method based on discrete cosine transform and Support Vector Machine.It used the coefficient of discrete cosine transformation as the eigenvalue of support vector machine.The experiment shows that it had a better result of detecting faces,and when discrete cosine transform coefficients were userd as eigenvalue,the detection rate was not increased with increasing the number of selected eigenvalue |
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| Keywords: | face detection discrete cosine Support Vector Machine |
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