An Improved Self-Organized LLE Algorithm for Face Recognition

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An Improved Self-Organized LLE Algorithm for Face Recognition

Article | 更新时间：2020-08-12

- An Improved Self-Organized LLE Algorithm for Face Recognition
- Optics and Precision Engineering Vol. 16, Issue 9, Pages: 1732-1737(2008)
- 作者机构：
  
  重庆大学
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：24 March 2008，
  
  Revised：29 April 2008，
  
  Published Online：25 September 2008，
  
  Published：25 September 2008
- 稿件说明：
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冯海亮,李见为,黄鸿. 自组织LLE算法及其在人脸识别中的应用[J]. 光学精密工程, 2008,16(9):1732-1737

An Improved Self-Organized LLE Algorithm for Face Recognition[J]. Optics and precision engineering, 2008, 16(9): 1732-1737.
冯海亮,李见为,黄鸿. 自组织LLE算法及其在人脸识别中的应用[J]. 光学精密工程, 2008,16(9):1732-1737 DOI：

An Improved Self-Organized LLE Algorithm for Face Recognition[J]. Optics and precision engineering, 2008, 16(9): 1732-1737. DOI：

摘要

流形学习方法可以有效的发现存在于高维图像空间的低维子流形并进行维数约简，近年来越来越受到生物特征识别和认知科学领域的研究者的重视。针对局部线性嵌入（Local linear embedding

简称LLE）流形学习算法存在的问题，本文提出了一种自组织LLE算法(Self-Organized LLE

简称SO-LLE)，该算法不仅能自动确定数据点邻域选择、减少运算量，而且能有效的发现嵌入于高维人脸图像的低维子流形。本文对SO-LLE算法进行了详细的理论分析，并应用各种数据集进行了仿真实验和分析。在公开的人脸数据库上的仿真实验结果表明

该方法能有效的提高人脸识别的性能。

Abstract

Manifold learning method can discover intrinsic low-dimensional submanifold embedded in the high-dimensional image space

it attracts more and more attention in the research area of biometrics and cognitive science. For the problem exits in locally linear embedding (LLE) algorithm

a self-organized LLE algorithm is proposed in this paper. This new method can not only determine the nearest neighbors of LLE automatically

save lots of operation

but also gain a perfect approximation of face manifold. This paper proposed theoretical analysis for details and applied to some dataset to verify the effeteness of this method. Experimental results on public face databases show that the proposed method can improves face classification performance effectively.

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Related Institution

School of Mechanical Engineering， University of Jinan

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Key Laboratory of Optoelectronic Technology and System， Ministry of Education， Chongqing University

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