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In recent years, local image descriptors based on histograms of oriented gradients (e.g., SIFT, DAISY) and intensity orders (e.g., LBP, LIOP) have been popular for the keypoint matching. However, by relying on the dominant orientation estimation or several pixels based interaction to achieve rotation invariance, these descriptors tend to be error-prone or noise-sensitive. Moreover, they represent...
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