中国科学院机构知识库网格系统: Infrared face recognition using linear subspace analysis (EI CONFERENCE)

中国科学院机构知识库网格

Chinese Academy of Sciences Institutional Repositories Grid

Infrared face recognition using linear subspace analysis (EI CONFERENCE)

文献类型：会议论文


作者	Wang D.
出版日期	2009
会议名称	MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, October 30, 2009 - November 1, 2009
会议地点	Yichang, China
关键词	Infrared image offers the main advantage over visible image of being invariant to illumination changes for face recognition. In this paper based on the introduction of main methods of linear subspace analysis such as Principal Component Analysis (PCA) Linear Discriminant Analysis(LDA) and Fast Independent Component Analysis (FastICA) the application of these methods to the recognition of infrared face images offered by OTCBVS workshop are investigated and the advantages and disadvantages are compared. Experimental results show that the combination approach of PCA and LDA leads to better classification performance than single PCA approach or LDA approach while the FastICA approach leads to the best classification performance with the improvement of nearly 5% compared with the combination approach. 2009 Copyright SPIE - The International Society for Optical Engineering.
收录类别	EI
源URL	[http://ir.ciomp.ac.cn/handle/181722/33807]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式 GB/T 7714	Wang D.. Infrared face recognition using linear subspace analysis (EI CONFERENCE)[C]. 见:MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, October 30, 2009 - November 1, 2009. Yichang, China.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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