Image Matching for Repetitive Patterns by Clustering and Transforming in Feature Space
Image Matching for Repetitive Patterns by Clustering and Transforming in Feature Space
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DOI：
10.1109/acpr.2013.121
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发表时间：
2013-11
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通讯作者：
Yoshiki Tanno;Yasushi Kanazawa
中科院分区：
文献类型：
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作者：
Yoshiki Tanno;Yasushi Kanazawa
提出了一种适用于建筑物、墙体等重复模式场景的图像匹配方法。本文通过引入重复模式元素的特征空间，不仅可以检测出每幅图像中的重复模式区域，而且可以找到两幅图像之间的对应关系。在检测中使用几何AIC在特征空间中进行几何聚类，通过在匹配中不同的两个特征空间中找到对应的簇之间的适当变换来获得对应关系。仿真图像和真实图像的实验结果表明了该方法的有效性。
We propose a method for image matching in scenes including repetitive patterns like buildings, walls, and so on. In this paper, by introducing a feature space of the elements of the repetitive patterns, we can detect not only the repetitive pattern regions in each image, but also find correspondences between the two images. We perform geometric clustering in the feature space using geometric AIC in the detection, we obtain correspondences by finding a proper transformation between the corresponding clusters in the different two feature spaces in the matching. We show the effectiveness of our method by experimental results using simulated and real images.