福州大学学报（自然科学版）2017，Vol.45Issue(6)：801-809,9.DOI:10.7631/issn.1000-2243.2017.06.0801
改进SIFT算法实现图像的快速匹配
Fast image match with an improved efficient SIFT algorithm
摘要
Abstract
An improved image matching method has been proposed to accelerate the image matching procedure based on SIFT algorithm. First, an entropy-based approach to filter out the unstable feature-points from the candidates is proposed. It can reduce the unstable ones during the feature descriptor computing and matching stages. Second, a fast mismatching-removing method, which highly improve the efficiency of eliminating the small quantity of remaining mismatching points, is proposed. A serial of experiments are conducted which demonstrate that the proposed approaches have a better accuracy, real-time than other improved methods.关键词
图像匹配/SIFT算法/差熵/特征点筛选Key words
image matching/SIFT algorithm/entropy/stable feature-point分类
信息技术与安全科学引用本文复制引用
吴丽君,文吉成,陈志聪,陈金伙,林培杰,程树英..改进SIFT算法实现图像的快速匹配[J].福州大学学报（自然科学版）,2017,45(6):801-809,9.基金项目
国家自然科学基金资助项目(51508105, 61601127) （51508105, 61601127）
福建省自然科学基金资助项目(2015H05124) （2015H05124）
福建省科技厅高校产学合作资助项目( 2016H6012) （ 2016H6012）
福建省科技厅工业引导性重点资助项目( 2015H0021) （ 2015H0021）
福建省经信委省级技术创新重点资助项目( 830020) （ 830020）
教育部留学归国人员科研启动经费资助项目( LXKQ201504) （ LXKQ201504）
