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基于Fisher投影的多光谱人脸融合识别 被引量：3

Multi-spectral Face Fusion Recognition Based on Fisher Projection
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摘要 根据可见光图像与红外图像的信息互补性,分析在决策层融合识别中的归一化法和融合算法,提出一种基于统计的Fisher投影融合法,利用Fisher线性判别准则在二维分数空间寻找最优投影方向,使不同类样本投影后能最佳分离。在多光谱人脸融合识别中的应用结果表明,与其他融合算法相比,该算法具有更好的识别效果。 According to the information complementarity for visible image and infrared image,this paper analyzes normalization method and fusion algorithm for fusion recognition at decision level,proposes a Fisher projection fusion algorithm based on statistics.This algorithm employs Fisher linear discriminate criterion to find out the optimal projection in score space that can best separate projected samples from different classes.Application of multi-spectral face fusion recognition results show that this algorithm has higher recognition effect compared with other fusion algorithm.
作者 刘典婷 华顺刚 苏铁明 欧宗瑛 张建新
机构地区 大连理工大学机械工程学院CAD与网络技术研究所
出处 《计算机工程》 CAS CSCD 北大核心 2010年第8期180-182,共3页 Computer Engineering
基金 大连理工大学交叉学科基金资助项目(光电子+X2006) 大连理工大学与中国科学院沈阳自动化研究所联合基金资助项目(DUT-SIA2006)
关键词 红外图像 可见光图像 FISHER线性判别 人脸识别 融合 infrared image visible image Fisher linear discrimination face recognition fusion
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献6

  • 1Chen Xin,Flynn P J,Bowyer K W.PCA-based Face Recognition in Infrared Imagery:Baseline and Comparative Studies[C]//Proc.of IEEE International Workshop on Analysis and Modeling of Faces and Gestures.[S.l.]:IEEE Press,2003.
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同被引文献28

  • 1Guo Lei, Li Huihui, Bao Yongsheng. Image Fusion[M]. Beijing, China: Publication House of Electrionics Industry, 2008.
  • 2Li Shutao, Yang Bin. Multifocus Image Fusion by Combining Curvelet and Wavelet Transform[J]. Pattern Recognition Letters, 2008, 29(9): 1295-1301.
  • 3Eslami R, Radha H. The Contourlet Transform for Image Denoising Using Cycle Spinning[C]//Proc. of Asilomar Conference on Signals Systems, and Computers. Pacific Grove, USA:[s. n ], 2003: 1982-1986.
  • 4Zhang Qiang, Guo Baolong. Multifocus Image Fusions Using the Nonsubsampled Contourlet Transform[J]. Signal Processing, 2009, 89(7): 1334-1346.
  • 5Kirby M, Sirovich L. Application of Karhunen-loeve Procedure for the Characterization of Human Face[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1990, 12(1): 103-108.
  • 6Moghaddam B. Principal Manifolds and Probabilistic Subspace for Visual Recognition[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2002, 24(6): 780-788.
  • 7Belhumeur P N, Hespanha J P, Kriegman D J. Eigenfaces and Fisherfaces: Recognition Using Class Specific Linear Projection[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1997, 19(7): 711-720.
  • 8Lu Juwei, Plataniotis K N, Venetsanopoulos A N. Face Recog- nition Using LDA-based Algorithms[J]. IEEE Trans. on Neural Networks, 2003, 14(1): 195-200.
  • 9Wang Xiaogang, Tang Xiao’ou. Dual-space Linear Discriminate Analysis for Face Recognition[C]//Proc. of IEEE International Workshop on Computer Vision and Pattern Recognition. Washington D. C., USA: [s. n.]. 2004: 564-569.
  • 10Liu Chengjun, Wechsler H. Robust Coding Schemes for Indexing and Retrieval from Larger Face Database[J]. IEEE Trans. on Image Processing, 2000, 9(1): 132-137.

引证文献3

二级引证文献9

计算机工程
2010年 第8期

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