| 基于特征曲线的自动人面识别研究 |
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| 引用本文： | 章高清,王申康,叶懋东. 基于特征曲线的自动人面识别研究[J]. 软件学报, 2000, 11(3): 372-378 |
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| 作者姓名： | 章高清 王申康 叶懋东 |
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| 作者单位： | 浙江大学计算机科学与工程系,杭州,310027 |
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| 基金项目： | 本文研究得到浙江省公安厅资金(No.1997-7-15)资助. |
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| 摘 要： | 提出了一种基于特征曲线的快速人面识别方法.该方法首先对不同姿态和大小的人面进行定位和归一化,然后在归一化后的人面图像上建立多种特征曲线.作为对人面特征的描述,最后利用傅里叶描绘子对特征曲线进行解析提取关键特征,得到人面的表征向量.使用此方法在1300幅人面图像上进行了实验,结果表明，此方法在速度和准确度方面都具有较好的性能,而且对有不同姿态和表情的人面的识别具有一定的鲁棒性.
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| 关 键 词： | 自动人面识别，人面归一化，积分投影，特征曲线，傅里叶描绘子. |
| 收稿时间： | 1998-10-22 |
| 修稿时间： | 1999-04-06 |
Automatic Human Face Recognition Based on Eigencurves |
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| ZHANG Gao-qing,WANG Shen-kang and YE Mao-dong. Automatic Human Face Recognition Based on Eigencurves[J]. Journal of Software, 2000, 11(3): 372-378 |
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| Authors: | ZHANG Gao-qing WANG Shen-kang YE Mao-dong |
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| Affiliation: | Department of Computer Science and Engineering Zhejiang University Hangzhou 310027 |
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| Abstract: | A fast method for face recognition based on eigencurves is presented in this paper.First all faces with different poses and sizes are located and normalized.Then several kinds of eigencurves are built to describe characteristics of faces.And finally,the dominant characteristics are extracted which are composed of representative vectors of faces through analyzing the eigencurves using Fourier describer.This method has been tested on 1300 facial images and shown a good performance of speed and accuracy,and the result also shows it is robust for various head poses and expressions. |
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| Keywords: | Automatic face recognition face normalization integral projection eigencurve Fourier describer. |
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