计算机应用研究Issue(9)：2561-2565,2571,6.DOI:10.3969/j.issn.1001-3695.2015.09.001
图像匹配中误匹配点检测技术综述
Review of false matching points detection methods for image matching
摘要
Abstract
Scale-invariant feature transform(SIFT)and some improvements are invariant to image scaling and rotation and have been widely used in image matching.These methods have significantly improved image matching accuracy.However,false matching points still occur in all image matching algorithms.Therefore,false matching points detection is an important step in image matching.In order to give a comprehensive understanding of false matching points detection methods to researchers,this paper reviewed false matching points detection methods.It categorized there methods into three classes based on numerous researches:the method based on function fitting,the method based on statistical model,the method based on graph.Then,it reviewed these three methods and analyzed the advantages,disadvantages and suitable applying conditions of these methods.Finally,it proposed some problems needed to solve in the future and gave some solutions for these problems.关键词
图像匹配/误匹配检测/函数拟合/随机抽样一致性/图转换匹配Key words
image matching/false matching points detection/function fitting/RANSAC/GTM分类
信息技术与安全科学引用本文复制引用
单小军,唐娉..图像匹配中误匹配点检测技术综述[J].计算机应用研究,2015,(9):2561-2565,2571,6.基金项目
国家“863”计划资助项目 （）
