Human eye detection algorithms based on the surf and geometrical regional limit

被引：0

作者：

Yafen, Xu ^{[1
]}

机构：

[1] Zhejiang ShuRen University, Hangzhou 310015 Zhejiang, China

来源：

Journal of Theoretical and Applied Information Technology | 2012年 / 46卷 / 02期

关键词：

Dynamic matching - Geometric area - Good stability - Hessian matrices - Human eye - Regional limit - Scale spaces - Surf algorithms;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

According to the problem of human eye detection technology is being paid more and more attention, and the existing human eye detection algorithm can't satisfy the stability of dynamic human eye detection. This paper proposes a human eye detection strategy based on SURF algorithm and geometric area limit, first building Hessian matrix, and then constructing scale space, then fixing position of human eye's feature points and confirming the direction, and carrying out the dynamic matching of feature points and the operation of limited detection region in the human eye detection process. The experimental results show that the proposed scheme can effectively extract the feature points of the human eye, and presents a good stability in the dynamic human eye detection. © 2005 - 2012 JATIT & LLS.All rights reserved.

引用

页码：889 / 893