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Manifold alignment based color transfer for multiview image stitching

机译:基于歧管对齐的颜色转移,用于多视图图像拼接

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摘要

In multiview image stitching, color transfer removes all color inconsistences between different views under different illumination conditions and camera settings to make the stitching more seamless or visually acceptable. This paper presents a manifold alignment method to perform color transfer by exploring manifold structures of partially overlapped source and target images. Manifold alignment projects a pair of source and target images into a common embedding space in which not only the local geometries of color distribution in the respective images are preserved, but also the corresponding pixels in overlapped area across two images are pairwise aligned. Under this new space, color transfer can be considered as a matching problem between different manifolds, i.e. the color of each target pixel is replaced by the color of a source pixel that is nearest to this target pixel in this new space. Compared with other techniques in the literature, the proposed method makes full use of both the correspondences in overlapped area and the intrinsic color structures in the whole stitching scene so that a favorable performance is achieved.
机译:在多视图图像拼接中,颜色转移可消除在不同照明条件和相机设置下不同视图之间的所有颜色不一致性,从而使拼接更加无缝或在视觉上可以接受。本文提出了一种流形对齐方法,通过探索部分重叠的源图像和目标图像的流形结构来执行颜色转移。歧管对准将一对源图像和目标图像投影到一个公共的嵌入空间中,在该空间中不仅保留了各个图像中颜色分布的局部几何形状,而且两个图像重叠区域中的相应像素也成对对齐。在这个新空间中,可以将颜色转移视为不同歧管之间的匹配问题,即,每个目标像素的颜色将替换为在这个新空间中最接近该目标像素的源像素的颜色。与文献中的其他技术相比,该方法充分利用了重叠区域中的对应关系和整个拼接场景中的固有色彩结构,从而获得了良好的性能。

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