基于局部特征的人脸识别

First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI:10.1109/IMSCCS.2006.83

Mei Huang, Jiliu Zhou, Kun He, Shuhua Xiong, Tao Li

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摘要

统计人脸识别的准确性取决于人脸的分布特征。对没有明显分布特征的人脸进行统计识别是没有意义的。但这样的面孔可以通过局部特征之间的细微差异进行分类。因此，本文提出了基于局部特征的人脸识别方法，即获取局部特征及其维数。实验表明，该算法是令人满意的

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Local Feature Based Face Recognition

Accuracy of statistical face recognition is determined by face's distributed feature. Applying statistical recognition to faces without obvious distributed feature is meaningless. But such faces can be classified by subtle differences between local features. So local feature based face recognition by obtaining local feature and its dimension is proposed in this paper. Experiments show that, the algorithm is satisfactory

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First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)

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