Feature Extraction of Face Based on The Sparse Manifold Configuration

被引：0

作者：

Yao, Kaidi ^{[1
]}

Dai, Bin ^{[1
]}

Wu, Tao ^{[1
]}

Fang, Yuqiang ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha, Hunan, Peoples R China

来源：

2013 CHINESE AUTOMATION CONGRESS (CAC) | 2013年

关键词：

sparse; manifold learning; face recognition; subspace learning;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the field of recognition, it is a way to improve the rate of recognition by extracting the key feature of the target effectively. In this paper, we proposed an improved method of sparse manifold configuration to solve the problem of feature extraction in face recognition, which is based on manifold learning and the sparsity, and then we used this method to build the configuration and finish the tasks of subspace learning. After a large number of image experiments, we completed the categorization of these images.

引用

页码：577 / 580

页数：4

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