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Infrared face recognition using linear subspace analysis (EI CONFERENCE) 会议论文  OAI收割
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
作者:  
Wang D.
收藏  |  浏览/下载:35/0  |  提交时间:2013/03/25
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.  
人脸识别中的光照子空间的构造与分析 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2005
刘俊
收藏  |  浏览/下载:46/0  |  提交时间:2015/09/02