An algorithm of fabric image mosaic based on SIFT feature matching

被引：0
|
作者：
Lu Bei [1 ]
Zheng Haizhen [1 ]
机构：
[1] HangZhou Dianzi Univ, Inst Comp Applicat Technol, Hangzhou 310018, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL III, PROCEEDINGS | 2009年
关键词：
SIFT; Euclidean distance; Cosine similarity; Image mosaic;
D O I：
10.1109/AICI.2009.213
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose a new algorithm based on SIFT, combining several feature matching methods to achieve high accuracy of fabric image mosaic. After multiple matching and filtering steps, the overlap parts between the images can be found accurately. Experimental results show that the proposed algorithm is feasible with promising effect for fabric images mosaic.
引用
收藏
页码：435 / 438
页数：4
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