Image registration is an important component of many image processing problems which often require optimizing over some set of parameters. In the image registration problem, one attempts to determine the best transformation for aligning similar images. Such problems typically require minimizing a dissimilarity measure with multiple local minima. We describe a global optimization algorithm and apply it to the problem of identifying the best transformation for aligning two images.

中文翻译：

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一种DIRECT型全局优化的图像配准算法

图像配准是许多图像处理问题的重要组成部分，这些问题通常需要对某些参数集进行优化。在图像配准问题中，人们试图确定用于对准相似图像的最佳变换。此类问题通常需要使用多个局部最小值来最小化差异度量。我们描述了一种全局优化算法，并将其应用于识别用于对齐两个图像的最佳变换的问题。