Locality preserving projections plus affinity propagation: a fast method for face recognition

被引：0

作者：

Du, Chunhua ^{[1
]}

Yang, Jie ^{[1
]}

Wu, Qiang ^{[2
]}

Zhang, Tianhao ^{[1
]}

Yu, Shengyang ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200240, Peoples R China

[2] Univ Technol Sydney, Dept Comp Syst, Sydney, NSW 2007, Australia

来源：

OPTICAL ENGINEERING | 2008年 / 47卷 / 04期

基金：

中国国家自然科学基金;

关键词：

face recognition; locality preserving projections; affinity propagation; representative face image;

D O I：

10.1117/1.2903838

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

This letter develops a novel and fast framework called APLPP to tackle the face recognition task by combining locality preserving projections (LPP) with the affinity propagation clustering method. Unlike LPP, which uses all training images to identify a test image, our affinity propagation LPP (APLPP) uses much fewer images, free of noise, for identification. Thus APLPP is more computationally efficient than LPP. Comparative experiments also indicate that APLPP outperforms LPP regarding the recognition rate. (C) 2008 Society of Photo-Optical Instrumentation Engineers.

引用

页数：3

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