红外技术2015，Vol.37Issue(7)：560-565,6.
基于不变因子的SIFT误匹配点剔除及图像检索
Excluding SIFT Mismatching Points Based on the Invariant Factors and Image Retrieval
摘要
Abstract
A new algorithm was put forward to solve SIFT mismatching problem that was caused by the image rotation and scale changes. It used the image rotation-invariant and scale-invariant factors of the right matching points to eliminate the mismatching points with the key information of SIFT extraction. Then it analyzed the reserved feature points by clustering to recognize the target images and was compared with the bidirectional matching algorithm and RANSAC algorithm through the experiments. The experiment results showed that this algorithm can effectively eliminate the false matching points and the false rejection rate is low. Images are retrieved after the mismatching points excluded,and the miss rate and the false detection rate of the images are greatly reduced.关键词
尺度不变特征变换/转不变因子/尺度不变因子/误剔除率/漏检率/误检率Key words
SIFT/rotation-invariant factor/scale-invariant factor/false rejection rate/miss rate/false detection rate分类
信息技术与安全科学引用本文复制引用
阮小丽,陈庆虎,邱益鸣,鄢煜尘..基于不变因子的SIFT误匹配点剔除及图像检索[J].红外技术,2015,37(7):560-565,6.基金项目
文件检验鉴定公安部重点实验室(中国刑事警察学院)资助项目,编号:11KFKT002. （中国刑事警察学院）
