An Improved Harris-SIFT Algorithm for Image Matching

被引：0

作者：

Cao, Yu ^{[1
]}

Pang, Bo ^{[1
]}

Liu, Xin ^{[1
]}

Shi, Yan-li ^{[1
]}

机构：

[1] Sch Harbin Univ Sci & Technol, Harbin 150080, Heilongjiang, Peoples R China

来源：

ADVANCED HYBRID INFORMATION PROCESSING | 2018年 / 219卷

关键词：

Improved Harris-SIFT algorithm; Corner detection; Homocentric square window; Image matching;

D O I：

10.1007/978-3-319-73317-3_8

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In view of the feature points extracted by the SIFT algorithm can not fully represent the structure of the object and the computational complexity is high, an improved Harris-SIFT image matching algorithm is proposed. Firstly, the feature points of the image are extracted by Harris corner detection operator. Then, the feature points are described by using the 28 dimension increasing homocentric square window. Euclidean distance is used as the similarity measure function in the matching process. Finally, simulation results show the validity of the improved algorithm, providing a new thought for the research into the image matching.

引用

页码：56 / 64

页数：9

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