Research of Image Matching Algorithm Based on Local Features

被引：0

作者：

Wei, Sun ^{[1
]}

机构：

[1] Chengdu Univ Technol, Dept Mech Engn, Coll Nucl Technol & Automat Engn, Chengdu 610059, Peoples R China

来源：

SEVENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2015) | 2015年 / 9631卷

关键词：

image matching; feature extraction; SIFT; local feature;

D O I：

10.1117/12.2197153

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

For the problem of low efficiency in SIFT algorithm while using exhaustive method to search the nearest neighbor and next nearest neighbor of feature points, this paper introduces K-D tree algorithm, to index the feature points extracted in database images according to the tree structure, at the same time, using the concept of a weighted priority, further improves the algorithm, to further enhance the efficiency of feature matching.

引用

页数：6

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