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一种改进的SIFT双向匹配算法
引用本文:刘焕敏,王华,段慧芬.一种改进的SIFT双向匹配算法[J].兵工自动化,2009,28(6):89-91.
作者姓名:刘焕敏  王华  段慧芬
作者单位:中国卫星海上测控部,江苏,江阴,214431;中国卫星海上测控部,江苏,江阴,214431;中国卫星海上测控部,江苏,江阴,214431
摘    要:分析SIFT特征提取匹配算法,利用SIFT特征向量匹配对的唯一性约束改进算法的匹配策略提出双向匹配算法,在已有匹配结果的基础上引入匹配的唯一性约束,进一步降低实时图像与参考图像时序匹配的误匹配率,以达到在实时图像中寻找已知着陆区域的目的,提高图像匹配的准确率。实验结果表明该方法有效。

关 键 词:SIFT特征提取匹配算法  双向匹配算法  图像匹配

A Bidirectional Matching SIFT Algorithm
LIU Huan-min,WANG Hua,DUAN Hui-fen.A Bidirectional Matching SIFT Algorithm[J].Ordnance Industry Automation,2009,28(6):89-91.
Authors:LIU Huan-min  WANG Hua  DUAN Hui-fen
Affiliation:China Satellite Maritime Tracking & Control Department;Jiangyin 214431;China
Abstract:Analyze SIFT algorithm for feature extraction and matching, and by using the matching strategy of improved algorithm of SIFT eigenvector match pairs' uniqueness constraint, propose a bidirectional matching algorithm. Based on existing matching results, the algorithm introduces matching uniqueness constraint to further reduce matching error during matching between real-time image and reference image sequences, thus to find the known landing area in real-time image and improve image matching accuracy. Experiment results show the method is effective.
Keywords:Scale invariant feature transform  A bidirectional matching algorithm  Image matching  
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