An Image Sorting Algorithm Based on SIFT Feature Matching

被引：0

作者：

Ying, Zhou ^{[1
]}

Jun, Zhang ^{[2
]}

机构：

[1] Northwestern Polytech Univ, Sch Elect & Informat, Xian, Peoples R China

[2] Northwestern Polytech Univ, Sch Automat, Xian, Peoples R China

来源：

2015 INTERNATIONAL CONFERENCE ON COMPUTER AND COMPUTATIONAL SCIENCES (ICCCS) | 2015年

关键词：

Panoramic image mosaic; SIFT; sorting algorithm;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The panoramic image mosaic technology means images with partial overlapping area are composited to a 360-degree circular image which describes the information of a certain scene. A hotspot of this technology is how to determine the image order accurately and fast when the number of images is large. In this paper, we present a novel image sorting algorithm based on SIFT(Scale-Invariant Features Transform). In the proposed method, matching feature is firstly characterized by calculating the number of matching points between images to find the nearest image of a certain one. After calculating the matching points one by one, an accurate picture order could be finally obtained. The results show the effectiveness of the proposed algorithm.

引用

页码：275 / 278

页数：4

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