华东理工大学学报：自然科学版2012，Vol.38Issue(6)：747-751,5.
基于SIFT和RANSAC的特征图像匹配方法
Features Image Matching Approach Based on SIFT and RANSAC
常青 1张斌 1邵金玲1
作者信息
- 1. 华东理工大学信息科学与工程学院,上海200237
- 折叠
摘要
Abstract
In order to improve the ability of anti-interference in the matching of image feature, a new matching method is proposed based on SIFT and RANSAC. Firstly, using SIFT to extract invariant features from images, best bin first research to be performed and computer the Euclidean distance ratio of nearest neighbor feature vector and second nearest neighbor feature vector to achieve the pre-matching. After that, RANSAC robust estimation is performed to eliminate the wrong feature matching. Finally, transformation parameters between matching and template image is computed by reliable matching points. The experimental results indicate that the matching algorithm is invariant to scale and rotation, and a substantial range of affine distortion, addition of noise, and can effectively complete the object matching between images.关键词
图像匹配/尺度不变特征变换/随机采样一致性（RANSAC）Key words
image matching/SIFT/RANSAC分类
信息技术与安全科学引用本文复制引用
常青,张斌,邵金玲..基于SIFT和RANSAC的特征图像匹配方法[J].华东理工大学学报：自然科学版,2012,38(6):747-751,5.
