基于非负矩阵分解的人脸识别应用研究

Research on face recognition application based on nonnegative matrix factorization

人脸识别技术在生活中应用十分广泛,非负矩阵分解是机械学习的经典算法之一,因其良好的物理意义而被应用在人脸识别技术中。本文主要研究了非负矩阵分解在人脸识别技术中的应用,介绍人脸识别与非负矩阵分解的背景阐释其原理与迭代算法,通过实验验证了非负矩阵分解算法在人脸识别上的运用并与主成分成分分析算法进行比较。阐述了改进的非负矩阵分解在人脸识别中的应用。

Face recognition technology is widely used in daily life,nonnegative matrix factorization is one of the classic algorithms in mechanical learning,which has been applied in face recognition technology due to its good physical significance.In this paper,the application of nonnegative matrix factorization in face recognition technology is mainly studied,the background of face recognition and nonnegative matrix factorization is introduced,followed by an explanation of their principles and iterative algorithms.Through experiments,the application of nonnegative matrix factorization algorithm in face recognition is verified and compared with principal component analysis algorithm.The application of improved nonnegative matrix factorization in face recognition is elaborated.