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Point-based rigid registration using Geometric Topological Inference algorithm

机译:基于几何拓扑推理算法的基于点的刚性配准

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Image registration involves estimating how one set of n-dimensional points is rotated, scaled, and translated into another set of n-dimensional points. As the rigid invariants, the matching point pairs preserve geometric topological relationship while mapping. Thus we propose a novel method for two-dimensional rigid registration problem, dubbed Geometric Topological Inference algorithm (GTI). Given a basic triplet point pairs, GTI can discover a complete matching point set without computing the transformation matrix. The method has been tested on synthetic data sets and real SAR images and performs well.
机译:图像配准涉及估计一组n维点如何旋转,缩放和转换为另一组n维点。作为刚性不变式,匹配点对在映射时保留几何拓扑关系。因此,我们提出了一种解决二维刚性配准问题的新方法,称为几何拓扑推断算法(GTI)。给定基本的三元组点对,GTI可以发现一个完整的匹配点集,而无需计算转换矩阵。该方法已在合成数据集和真实SAR图像上进行了测试,性能良好。

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