An Image Matching Recognition Approach Based On ICM Icon

被引：2
|
作者：
Yu, Ruixing [1 ]
Zhu, Bing [1 ]
Zhang, Ke [1 ]
Lv, Meibo [1 ]
机构：
[1] NW Polytech Univ, Coll Astronaut, Xian 710072, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS | 2008年
关键词：
target recognition; matching; intersecting cortical model (ICM); icon; invariant feature;
D O I：
10.1109/FSKD.2008.650
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The scale and rotation change of target make the effect of image matching recognition worse. In order to resolve this problem, a novel recognition algorithm based on intersecting cortical model (ICM) icon was introduced, which provides an invariant representation of the object's rotation, scaling and translation. First, the real-time map and the reference map were input to ICM model to get icons. Then, similarity is analyzed between two icons to realize object matching recognition. This algorithm not only works well when the target has the scale change or rotation, but also has the low operation cost. Last, the experiments show the new method's effectiveness and superiority.
引用
收藏
页码：20 / 23
页数：4
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