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Image relighting and matching with illumination information

机译:图像重新照明并与照明信息匹配

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In recent years, interest point based feature such as SIFT and SURF are widely used for image matchings. While these features are robust to changes in scales, rotations, and local geometric deformations, they are usually less able to simultaneously handle viewpoint changes and large illumination changes. In this paper, we will cope with this challenging problem. The basic idea is to relight one of the two images so that the image has similar illumination conditions as the other one. After relighting process, the point based features become effective again in the matching process. Our experiments show that the proposed method has good performance for matching two images with very different illuminations.
机译:近年来,基于兴趣点的功能(例如SIFT和SURF)已广泛用于图像匹配。虽然这些功能可抵抗比例,旋转和局部几何变形的变化,但它们通常无法同时处理视点变化和较大的照明变化。在本文中,我们将解决这个具有挑战性的问题。基本思想是重新照明两个图像之一,以使图像具有与另一个图像相似的照明条件。重新照明过程后,基于点的特征在匹配过程中再次生效。我们的实验表明,所提出的方法在匹配两个照度非常不同的图像时具有良好的性能。

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