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一种基于不相关鉴别特征的人脸识别方法

Face Recognition Algorithm Based on Uncorrelated Discriminant Features
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摘要 提出了基于图像矩阵的不相关的线性鉴别分析方法,比较了采用图像矩阵和图像矢量特征时主分量分析方法和线性鉴别分析方法的识别性能,并对实验结果进行了详细分析。 An uncorrelated LDA method by using image matrix representation is proposed.PCA and LDA methods are compared when image matrix and image vector representation are used,respectively.The experiment results are also analyzed in detail.
作者 刘党辉
出处 《测控技术》 CSCD 2005年第7期20-23,共4页 Measurement & Control Technology
关键词 人脸识别 主分量分析 线性鉴别分析 不相关特征 face recognition PCA LDA uncorrelated features
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参考文献7

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