Incremental PCA based face recognition

被引：0

作者：

Zhao, HT ^{[1
]}

Yuen, PC ^{[1
]}

Kwok, JT ^{[1
]}

Yang, JY ^{[1
]}

机构：

[1] Hong Kong Baptist Univ, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China

来源：

2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3 | 2004年

关键词：

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 real world, learning is often expected to be a continuous process, which is capable of incorporating new facts into the past experience. However, currently many typical face recognition methods, such as eigenface and Fisherface, have only focused on non-incremental learning tasks, where the learning stops once the training set has been duly processed. In this paper, we present a PCA-based algorithm for face recognition, which takes the incremental learning in account. This method can update the principal subspace without simply re-computing the eigen decomposition from scratch.

引用

页码：687 / 691

页数：5

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