| 一种基于图像特征点的图像匹配算法 |
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| 引用本文： | 戚世贵,戚素娟.一种基于图像特征点的图像匹配算法[J].国外电子测量技术,2008,27(1):3-4,15. |
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| 作者姓名： | 戚世贵 戚素娟 |
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| 作者单位： | 1. 许昌学院,计算机科学与技术学院,许昌,461000
2. 中国科学院家授时中心,临潼,710600 |
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| 摘 要： | 图像匹配技术被广泛用于人脸识别、全景图像生成等领域.该文利用变比不变特征点 (Scale Invariance Feature Transform-SIFT)提取方法提取特征点,并对SIFT方法提取出的特征点用最近邻算法 (Nearest Neighbor-NN)进行匹配,在搜索最近邻特征点和次近邻特征点时使用了在K-D树搜索算法基础上进行改进的搜索算法BBF(Best Bin First)算法.实验证明该匹配算法具有匹配精度高,鲁棒性好的特点.
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| 关 键 词： | 图像 特征点 匹配 最近邻算法 |
Image registration on image feature |
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| Qi Shigui,Qi Sujuan.Image registration on image feature[J].Foreign Electronic Measurement Technology,2008,27(1):3-4,15. |
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| Authors: | Qi Shigui Qi Sujuan |
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| Abstract: | Image matching technology has been widely used for face recognition, building panorama. This paper uses SIFT (Scale Invariance Feature Transform) as feature extraction method. After that, the paper uses NN (Nearest Neighbor) for feature matching. In the period of searching nearest and second nearest feature point, the paper uses BBF (Best Bin First) as searching method which is modified from K-D tree searching method. This experiment proved that it is of high accuracy and robustness. |
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| Keywords: | image feature registration nearest neighbor |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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