A face recognition method based on sample generation

Q4 Physics and Astronomy 光学技术 Pub Date : 2014-01-01 DOI:10.3788/GXJS20144004.0298

刘艳丽 Liu Yanli, 朱达荣 Zhu Darong, 张德祥 Zhang Dexiang, 刘芳 Liu Fang

引用次数: 0

Abstract

The characteristic that samples are high dimensional and small is typical for face recognition(FR).It is a key point to develop effective feature extraction approach for FR problem.A method to produce multiple copies of a face image is proposed while doing downsampling on original image.The experiment indicates that the proposed method can improve the recognition accuracy of classifiers.

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基于样本生成的人脸识别方法

人脸识别的典型特征是样本的高维和小。开发有效的特征提取方法是FR问题的关键。提出了一种在对原始图像进行降采样的同时生成多幅人脸图像的方法。实验表明，该方法可以提高分类器的识别精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

光学技术 Physics and Astronomy-Atomic and Molecular Physics, and Optics

CiteScore

0.60

自引率

0.00%

发文量

6699

期刊介绍： The predecessor of Optical Technology was Optical Technology, which was founded in 1975. At that time, the Fifth Ministry of Machine Building entrusted the School of Optoelectronics of Beijing Institute of Technology to publish the journal, and it was officially approved by the State Administration of Press, Publication, Radio, Film and Television for external distribution. From 1975 to 1979, the magazine was named Optical Technology, a quarterly with 4 issues per year; from 1980 to the present, the magazine is named Optical Technology, a bimonthly with 6 issues per year, published on the 20th of odd months. The publication policy is: to serve the national economic construction, implement the development of the national economy, serve production and scientific research, and implement the publication policy of "letting a hundred flowers bloom and a hundred schools of thought contend".