光学 精密工程, 2008, 16 (9): 1732, 网络出版: 2010-02-28
自组织LLE算法及其在人脸识别中的应用
An improved self-organized LLE algorithm for face recognition
人脸识别 流形学习 局部线性嵌入 自组织映射 face recognition manifold learning Locally Linear Embedding(LLE) self-organizing map
摘要
提出了一种改进了的自组织LLE算法(SO-LLE),该算法不仅能自动确定数据点邻域值、减少运算量,而且能有效地发现嵌入于高维人脸图像的低维子流形。对SO-LLE算法进行了详细的理论分析,并应用多种数据集进行了仿真实验。在Yale和PIE人脸数据库的仿真实验结果表明:SO-LLE方法的平均识别率提高了5%～40%,有效地提高了人脸识别的性能。
Abstract
A self-organized Local Linear Embedding(SO-LLE) algorithm is proposed.This new algorithm can not only determine the value of the nearest neighbor automatically and decrease the operation quantity,but also can gain a perfect approximation of face manifold.Theoretical analysis is given in details and experiments are carried on some dataset to verify the effeteness of this method.The experimental results on Yale and PIE face databases show that the proposed algorithm can increase the average recognition rate from 5% to 40%,which improves face recognition performance effectively.
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. FENG Hai-liang, LI Jian-wei, HUANG Hong. An improved self-organized LLE algorithm for face recognition[J]. Optics and Precision Engineering, 2008, 16(9): 1732.
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