Omnidirectional images generally have nonlinear distortion in radial direction. Unfortunately. traditional algorithms such as scale-invariant feature transform (SIFT) and Descriptor-Nets (D-Nets) do not work well in matching omnidirectional images just because they are incapable of dealing with the distortion. In order to solve this problem. https://www.bekindtopets.com/limited-stock-Hi-Shine-Shampoo-32-oz-must-buy/
A Spherical Model Based Keypoint Descriptor and Matching Algorithm for Omnidirectional Images
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