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一种基于学习的误匹配特征点剔除算法

黄友文 殷策

科技广场Issue(2):5-8,4.
科技广场Issue(2):5-8,4.

一种基于学习的误匹配特征点剔除算法

Algorithm of Removal of Mismatches in Feature Point Matching Based on Machine Learning

黄友文 1殷策1

作者信息

  • 1. 江西理工大学信息工程学院,江西 赣州341000
  • 折叠

摘要

Abstract

Feature point matching is of central importance in feature-based image registration algorithms. However, since most of the existing feature matchings are not so powerful and efficient for images after affine transformation. The underlying reason is that a suitable measure is unavailable currently in literature to adequately evaluate the similarity of two images. In contrast to the traditional evaluation methods, in this paper, the registra-tion evaluation problem is converted into a classification problem through machine learning. Experiments show that the validity and reliability of this proposed method.

关键词

图像配准/特征点误匹配/机器学习/分类器

Key words

Image Registration/Feature Mismatches/Machine Learning/Classifier

分类

信息技术与安全科学

引用本文复制引用

黄友文,殷策..一种基于学习的误匹配特征点剔除算法[J].科技广场,2016,(2):5-8,4.

基金项目

江西理工大学校级重点课题 ()

科技广场

1671-4792

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