计算机工程与应用Issue(9)：167-169,175,4.DOI:10.3778/j.issn.1002-8331.1205-0395
一种改进的SIFT图像特征匹配算法
Improved SIFT image feature matching algorithm
张永 1武玉建1
作者信息
- 1. 兰州理工大学 计算机与通信学院，兰州 730050
- 折叠
摘要
Abstract
Aiming at the problem that high dimension of SIFT feature description operator causes large calculating scale and high complexity in SIFT image feature matching algorithm, this paper proposes an improved SIFT image feature matching algorithm based on kernel projection. Instead of using smoothed weighted histograms to calculate gradient modulus and gradient orientations, this paper proposes an improved scheme based on kernel projection. It reduces the dimension of SIFT feature description and improves the efficiency of feature matching. Experimental result proves that the improved algo-rithm has higher matching accuracy and has less matching time, and it has higher instantaneity.关键词
尺度不变特征变换(SIFT)/图像匹配/特征描述算子/内核投影Key words
Scale Invariant Feature Transform(SIFT)/image matching/feature description/kernel projection分类
信息技术与安全科学引用本文复制引用
张永,武玉建..一种改进的SIFT图像特征匹配算法[J].计算机工程与应用,2014,(9):167-169,175,4.
