We propose a new method with Nadaraya-Watson that maps one N-dimensional distribution to another taking into account available information about correspondences. We extend the 2D/3D problem to higher dimensions by encoding overlapping neighborhoods of data points and solve the high dimensional problem in 1D space using an iterative projection approach. To show potentials of this mapping, we apply it to colour transfer between two images that exhibit overlapped scene. Experiments show quantitative and qualitative improvements over previous state of the art colour transfer methods.

中文翻译：

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用于颜色分级的迭代 Nadaraya-Watson 分布传输

我们提出了一种使用 Nadaraya-Watson 的新方法，该方法将一个 N 维分布映射到另一个，同时考虑到有关对应的可用信息。我们通过编码数据点的重叠邻域将 2D/3D 问题扩展到更高维度，并使用迭代投影方法解决 1D 空间中的高维问题。为了显示这种映射的潜力，我们将其应用于呈现重叠场景的两个图像之间的颜色转移。实验表明，与先前最先进的颜色转移方法相比，有数量和质量的改进。