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基于单应性矩阵剔除SIFT错误匹配点的方法 被引量：8

Method of eliminate SITF mismatching points based on homography
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摘要 根据图像几何变换的单应性矩阵将匹配点一一对应的特点,提出一种基于单应性矩阵的剔除方法.该方法首先利用SIFT进行匹配,得到初始匹配对,进行初步筛选,然后利用相似三角形求出基准单应性矩阵,设定阈值,剔除不满足阈值的匹配点对,最后得到精确匹配点对.通过与RANSAC算法以及结合欧式距离的RANSAC改进算法进行实验比较,该算法具有更高的正确匹配率. In this paper,a method based on the characteristics of the homograph matrix was presented to eliminate mismatching points. At first,SIFT algorithm was used to extract the feature points and get initial matching. The conduct preliminary screening and calculate the benchmark homograph matrix by using similar triangles. Furthermore,set a threshold value to eliminate matching point pairs that don’t meet the threshold and get accurate corresponding point pairs. Through the contrast experiment with both RANSAC algorithm and improved RANSAC algorithm combined with the Euclidean distance,it was verified the algorithm had higher correct matching rate.
作者 刘婷婷
机构地区 天津大学理学院数学系
出处 《哈尔滨商业大学学报（自然科学版）》 CAS 2016年第1期95-98,106,共5页 Journal of Harbin University of Commerce：Natural Sciences Edition
关键词 错误匹配点 单应性矩阵 相似三角形 RANSAC mismatching points homograph matrix similar triangles RANSAC
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献13

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二级参考文献21

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共引文献25

同被引文献56

引证文献8

二级引证文献25

哈尔滨商业大学学报（自然科学版）
2016年 第1期

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