计算机工程与应用2011，Vol.47Issue(18)：201-203,3.DOI:10.3778/j.issn.1002-8331.2011.18.059
基于PCA算法的人脸识别
Face recognition based on PCA
焦斌亮 1陈爽1
作者信息
- 1. 燕山大学,信息工程学院,电子工程系,河北秦皇岛,066004
- 折叠
摘要
Abstract
This paper introduces the Hidden Markov Eigenface Model(HMEM) in which the Probabilistic Principal Component Analysis(PPCA) is integrated into Separable Lattice Hidden Markov Models(SL-HMM),and the proposed model has good properties of both PPCA and SL-HMM.The face recognition experiments based on the ORL database show that the proposed model improves the performance signicantly.关键词
人脸识别/特征脸/概率主成分分析/隐马尔可夫模型Key words
face recognition/eigenface/Probabilistic Principal Component Analysis(PPCA)/Hidden Markov Models(HMM)分类
信息技术与安全科学引用本文复制引用
焦斌亮,陈爽..基于PCA算法的人脸识别[J].计算机工程与应用,2011,47(18):201-203,3.
