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Feature description and matching is an essential part of many computer vision applications. Numerous feature description algorithms have been developed to achieve reliable performance in image matching, e.g. SIFT, SURF, ORB, and BRISK. However, their descriptors usually fail when the images have undergone large viewpoint changes or shape deformation. To remedy the problem, we propose a novel feature...
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