An Improved Image Registration Method Based on SIFT

被引：0
|
作者：
Hou, Zhenjie [1 ]
Zhao, Lei [1 ]
Gu, Liguo [1 ]
Lv, Guoling [1 ]
Wang, Mei [1 ]
机构：
[1] Inner Mongolia Agr Univ, Coll Comp & Informat Engn, Hohhot, Peoples R China
来源：
2009 INTERNATIONAL ASIA SYMPOSIUM ON INTELLIGENT INTERACTION AND AFFECTIVE COMPUTING | 2009年
关键词：
SIFT method; Image Matching; feature descriptor; Scale invariant;
D O I：
10.1109/ASIA.2009.11
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The features of SIFT are widely used in image matching because of it's invariantion to images scale and rotation, but 128-dimensional description of the feature point reduce the efficiency of the algorithm. This paper presents an improved algorithm of SIFT, using ring and sequence of each feature vector to ensure rotation invariance while reducing the description of operator dimension and using traversal search to find a sample of the nearest neighbor feature points and the next nearest neighbor feature points. The experimental results show that when there are different levels of image geometric distortion, radiation distortion and noise, the improved algorithm is more stable and faster.
引用
收藏
页码：87 / 90
页数：4
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