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Image Alignment Using Translation Invariant Feature Matching

机译:使用平移不变特征匹配的图像对齐

摘要

A computer implemented method and system is provided for aligning multiple overlapping images in real time using translation invariant feature matching. A user captures overlapping images comprising a first image and a second image using one or more image capture devices. An image aligning application determines one or more local maxima pixel points and local minima pixel points in the first image and the second image based on predetermined statistical criteria. The image aligning application performs iterative intra image correlation in the first image for selecting a predetermined number of feature points. The image aligning application performs iterative inter image correlation for the selected feature points, for determining a predetermined number of best correlated feature point pairs, and selects a matching feature point pair from the best correlated feature point pairs. The image aligning application aligns the first image and the second image using the selected matching feature point pair.
机译:提供了一种计算机实现的方法和系统,用于使用平移不变特征匹配来实时对准多个重叠图像。用户使用一个或多个图像捕获设备捕获包括第一图像和第二图像的重叠图像。图像对准应用基于预定的统计标准来确定第一图像和第二图像中的一个或多个局部最大像素点和局部最小像素点。图像对准应用在第一图像中执行迭代内图像相关,以选择预定数量的特征点。图像对准应用对所选择的特征点执行迭代图像间相关,以确定预定数量的最佳相关特征点对,并从最佳相关特征点对中选择匹配的特征点对。图像对准应用使用所选择的匹配特征点对对准第一图像和第二图像。

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