Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (16): 191-196.DOI: 10.3778/j.issn.1002-8331.2010.16.056

• 图形、图像、模式识别 • Previous Articles     Next Articles

Face recognition based on image matrix discriminant locality preserving projections

WANG Guo-qiang1,2,SHI Nian-feng1,3,OU Zong-ying2   

  1. 1.Department of Computer and Information Engineering,Luoyang Institute of Science and Technology,Luoyang,Henan 471023,China
    2.Institute of CAD & Network Tech.,School of Mechanical Engineering,Dalian University of Technology,Dalian,Liaoning 116024,China
    3.Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100080,China
  • Received:2009-04-24 Revised:2009-06-12 Online:2010-06-01 Published:2010-06-01
  • Contact: WANG Guo-qiang

基于图像矩阵判别局部保持投影的人脸识别

王国强1,2,石念峰1,3,欧宗瑛2   

  1. 1.洛阳理工学院 计算机与信息工程系,河南 洛阳 471023
    2.大连理工大学 机械工程学院 CAD&网络研究所,辽宁 大连 116024
    3.中国科学院 计算技术研究所,北京 100080
  • 通讯作者: 王国强

Abstract: A new face recognition method based on Image Matrix Discriminant Locality Preserving Projections(IMDLPP) is proposed.Based on Locality Preserving Projections(LPP),IMDLPP takes into account the class label information,and adds between-class scatter constraint into the objective function.In addition,IMDLPP works directly with original image matrices which do not need to be converted into vectors,keeps the spatial position information of pixel in face image,and avoids the singular problem.The experimental results indicate the effectiveness of the proposed method.

Key words: locality preserving projections, image matrix discriminant locality preserving projections, manifold learning, face recognition

摘要: 提出一种基于图像矩阵判别局部保持投影的人脸识别方法。图像矩阵判别局部保持投影是在局部保持投影基础上进行了扩展,考虑了类标签信息并在其目标函数中增加类间散度约束,使得求解的特征更具判别性。另外,图像矩阵判别局部保持投影是直接处理图像矩阵而不需要将矩阵转化为向量,保留了像素间的空间位置关系,避免了奇异性问题。实验结果表明该方法是有效的。

关键词: 局部保持投影, 图像矩阵判别局部保持投影, 流形学习, 人脸识别

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