• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 26 Issue 6
Dec.  2013
Turn off MathJax
Article Contents
QI Yongfeng, HUO Yuanlian. A Face Recognition Method Based on Kernel Locality Preserving Projection[J]. Journal of Southwest Jiaotong University, 2013, 26(6): 1097-1103. doi: 10.3969/j.issn.0258-2724.2013.06.020
Citation: QI Yongfeng, HUO Yuanlian. A Face Recognition Method Based on Kernel Locality Preserving Projection[J]. Journal of Southwest Jiaotong University, 2013, 26(6): 1097-1103. doi: 10.3969/j.issn.0258-2724.2013.06.020

A Face Recognition Method Based on Kernel Locality Preserving Projection

doi: 10.3969/j.issn.0258-2724.2013.06.020
  • Received Date: 16 May 2012
  • Publish Date: 25 Dec 2013
  • To effectively extract non-linear structure information of face images, a novel method based on maximum scatter difference rule was proposed in this paper. Firstly, the kernel function was used to map original sample data into high dimensional feature space and the scatter matrices were obtained. Secondly, the nearest graphs of original sample data were embedded into scatter matrices; then the maximum scatter difference was used to extract the feature of samples. Experimental results on Pie and Yale face databases demonstrate that the proposed face recognition method is efficient and its top recognition rate can reach 99%.

     

  • loading
  • 张祖涛, 张家树, 和红杰. 基于脆弱数字水印的人脸图像的安全性
    [J]. 西南交通大学学报, 2007, 42(3): 340-344. ZHANG Zutao, ZHANG Jiashu, HE Hongjie. Safety offacial images based on fragile digital watermarking
    张家树, 陈辉, 李德芳, 等. 人脸表情自动识别技术研究进展
    [J]. Journal of Southwest Jiaotong University, 2007, 42(3): 340-344.
    齐永锋, 火元莲. 一种结合2DLPP 与2DPCA 的人脸识别方法
    ABATE A F, NAPPI M, RICCIO D, et al. 2D and 3D face recognition: A survey
    SMEETS D, KEUSTERMANS J, VANDERMEULEN D, et al. meshSIFT: Local surface features for 3D under expression variations and partial data
    [J]. 西南交通大学学报, 2005, 40(3): 285-292. ZHANG Jiashu, CHEN Hui, LI Defang, et al. Research advances in automatic facial expressionrecognition
    LEI Yinjie, BENNAMOUN M, EL-SALLAM A A. An efficient 3D face recognition approach based on the fusion of novel local low-level features
    [J]. Journal of Southwest JiaotongUniversity, 2005, 40(3): 285-292.
    ZHAO Zengshun, ZHANG Li, ZHAO Meng, et al. Gabor face recognition by multi-channel classifier fusion of supervised kernel manifold learning
    [J]. 西南交通大学学报, 2011, 46(6): 910-916. QI Yongfeng, HUO Yuanlian. Face Method Combining 2DLPP with 2DPCA
    宋枫溪, 程科, 杨静宇, 等. 最大散度差和大间距线性投影与支持向量机
    LI Xiaodong, FEI Shumin, ZHANG Tao. Median MSD-based method for face recognition
    [J]. Journal of Southwest Jiaotong University, 2011, 46(6): 910-916.
    WANG Jianguo, YANG Wankou, LIN Yusheng, et al. Two-directional maximum scatter difference discriminant analysis for face recognition
    KIM K I, KEEECHUL J, KIM H J. Face recognition using kernel principal component analysis
    [J]. Pattern Letters, 2007, 28(14/15): 1885-1906.
    LU Juwei, PLATANIOTIS K N, VENETSANOPOULOS A N. Face recognition using kernel direct discriminant analysis algorithms
    [J]. Computer Vision and Image Understanding, 2013, 117(2): 158-169.
    WANG Jianguo, LIN Yusheng, YANG Wankou, et al. Kernel maximum scatter difference based feature extraction and its application to face recognition
    ZHANG Baochang, GAO Yongsheng, ZHAO Sanqiang, et al. Local derivative pattern versus local binary pattern: face recognition with high-order local pattern descriptor
    LU Guifu, LIN Zhong, JIN Zhong. Face recognition using discriminant locality preserving projections based on maximum margin criterion
    [J]. Pattern Recognition, 2013, 46(1): 24-37.
    XU Yong, SONG Fengxi, FENG Ge, et al. A novel local preserving projection scheme for use with face recognition
    MIKHAIL B, PARTHA M. Laplacian eigenmaps for dimensionality reduction and data representation
    [J]. Neurocomputing, 2012, 97(15): 398-404.
    HE Xiaofei, YAN Shuicheng, HU Yuxiao, et al. Face recognition using Laplacianfaces
    YU Weiwei, TENG Xiaolong, LIU Chongqing. Face recognition using discriminant locality preserving projections
    [J]. 自动化学报, 2004, 30(6): 890-896. SONG Fengxi, CHENG Ke, YANG Jingyu, et al. Maximum scatter difference, large margin linear projection and support vector machines
    [J]. Acta Automatica Sinica, 2004, 30(11): 890-896.
    YU Weiwei. Two-dimensional discriminant locality preserving projections for face recognition
    QIAO Lishan, ZHANG Limei, CHEN Songcan. An empirical study of two typical locality preserving linear discriminant analysis methods
    [J]. Neurocomputing, 2009, 72(16/17/18): 3930-3934.
    QIAO Lishan, CHEN Songcan, TAN Xiaoyang. Sparsity preserving discriminant analysis for single training image face recognition
    杨利平, 龚卫国, 辜小花, 等. 完备鉴别保局投影人脸识别算法
    [J]. Neurocomputing, 2008, 72(1/2/3): 352-358.
    [J]. IEEE Signal Processing Letters, 2002, 9(2): 40-42.
    [J]. IEEE Transactions on Neural Networks, 2003, 14(1): 117-126.
    [J]. Pattern Recognition Letters, 2008, 29(13): 1832-1835.
    [J]. IEEE Transactions on Image Processing, 2010, 19(2): 533-544.
    [J]. Pattern Recognition, 2010, 43(10): 3572-3579.
    [J]. Expert Systems with Applications, 2010, 37(9): 7618-6721
    [J]. Neural Computation, 2003, 15(6): 1373-1396.
    [J]. IEEE Transactions Pattern Analysis and Machine Intelligence, 2005, 27(3): 328-340.
    [J]. Image and Vision Computing, 2006, 24(3): 239-248.
    [J]. Pattern Recognition Letters, 2009, 30(15): 1378-1383.
    [J]. Neurocomputing, 2010, 73(10/11/12): 1587-1594.
    [J]. Pattern Recognition Letters, 2010, 31(5): 422-429.
    [J]. 软件学报, 2010, 21(6): 1277-1286. YANG Liping, GONG Weiguo, GU Xiaohua, et al. Complete discriminant locality preserving projections for face recognition
    [J]. Journal of Software. 2010, 21(6): 1277-1286.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views(1057) PDF downloads(420) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return