Research on Rubbing Image Mosaic Based on SIFT Feature

被引：0

作者：

Wang, Yingying ^{[1
]}

Zhang, Jingjing ^{[1
,2
,3
]}

Cai, Yuan ^{[1
,2
,3
]}

Zhang, Yichun ^{[4
]}

机构：

[1] Commun Univ China, Fac Sci & Technol, Beijing, Peoples R China

[2] Minist Culture, Key Lab Acoust Visual Technol & Intelligent Contr, Beijing, Peoples R China

[3] Beijing Key Lab Modern Entertainment Technol, Beijing, Peoples R China

[4] China Art Sci & Technol Inst, Beijing, Peoples R China

来源：

2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) | 2017年

关键词：

SIFT feature; image mosaic; rubbing image;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In image digital processing of ancient books, stitching a global image with local images is a common way to deal with large size images such as rubbing images. This paper proposes an image mosaic method to realize rubbing image registration and fusion based on SIFT feature. The experimental results show the effectiveness and accuracy of proposed method.

引用

页码：3112 / 3116

页数：5

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