Improved SURF Algorithm Based on SVM Classification

被引：0

作者：

Chang Junlin ^{[1
]}

Wei Wei ^{[1
]}

Liang Junyan ^{[1
]}

机构：

[1] China Univ Minning & Technol, Xuzhou 100080, Peoples R China

来源：

2011 30TH CHINESE CONTROL CONFERENCE (CCC) | 2011年

关键词：

SURF; SVM; Image Matching; OpenCV;

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：

An new SURF algorithm based on support vector machine is presented in order to solve the problem of mismatch between feature points. Put the data of the normalized Euclidean distance of feature points into support vector machine to achieve adaptive match after trainning SVM by data. The experiment by OpenCV library verify that the improved SURF algorithm proposed in this paper has higher accuracy than the old one. Besides, there is no significant increase in complexity.

引用

页码：3083 / 3087

页数：5

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