Making discriminative common vectors applicable to face recognition with one training image per person(基于判别公共向量的单训练样本人脸识别)

LIRui-dong(李瑞东); ZHULei(祝磊); YUDang-jun(余党军); CHENXie-xiong(陈偕雄)

doi:zjup/1008-9497.2008.35.2.181-184

Zhejiang Daxue xuebao. Lixue ban (Mar 2008)

Making discriminative common vectors applicable to face recognition with one training image per person(基于判别公共向量的单训练样本人脸识别)

LIRui-dong(李瑞东),
ZHULei(祝磊),
YUDang-jun(余党军),
CHENXie-xiong(陈偕雄)

Affiliations

LIRui-dong(李瑞东): 1.Jinhua College of Profession and Technology, Jinhua 321017, China( 1.金华职业技术学院信息工程学院，浙江金华 321017)
ZHULei(祝磊): 2.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China( 2.浙江大学电气工程学院，浙江杭州 310027)
YUDang-jun(余党军): 1.Jinhua College of Profession and Technology, Jinhua 321017, China( 1.金华职业技术学院信息工程学院，浙江金华 321017)
CHENXie-xiong(陈偕雄): 3.Information College, Zhejiang University, Hangzhou 310028, China( 3.浙江大学信息学院，浙江杭州 310028)

DOI
Journal volume & issue: Vol. 35, no. 2
pp. 181 – 184

Abstract

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提出一种新的基于判别公共向量(Discriminative Common Vector)的单样本人脸识别算法.该方法基于人脸类内方差相似的假定，通过引入单人多样本的辅助人脸集来估计类内方差，解决了单训练样本情况下样本类内方差无法估计的问题.在FERET人脸库的测试结果表明，在面部细节、光照、表情变化的情况下，该方法都具有较好的识别效果.

Published in Zhejiang Daxue xuebao. Lixue ban

ISSN: 1008-9497 (Print)
Publisher: Zhejiang University Press
Country of publisher: China
LCC subjects: Science: Mathematics: Instruments and machines: Electronic computers. Computer science; Science: Physics
Website: https://www.zjujournals.com/sci/EN/1008-9497/home.shtml

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