Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (9): 167-169.

### Improved SIFT image feature matching algorithm

ZHANG Yong, WU Yujian

1. School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China
• Online:2014-05-01 Published:2014-05-14

### 一种改进的SIFT图像特征匹配算法

1. 兰州理工大学 计算机与通信学院，兰州 730050

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 algorithm has higher matching accuracy and has less matching time, and it has higher instantaneity.