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arXiv · 2204.10144

A case for using rotation invariant features in state of the art feature matchers

Georg Bökman·Fredrik Kahl
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Abstract

The aim of this paper is to demonstrate that a state of the art feature matcher (LoFTR) can be made more robust to rotations by simply replacing the backbone CNN with a steerable CNN which is equivariant to translations and image rotations. It is experimentally shown that this boost is obtained without reducing performance on ordinary illumination and viewpoint matching sequences.

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Georg Bökman, Fredrik Kahl. 2022-07-03. A case for using rotation invariant features in state of the art feature matchers. https://arxiv.org/abs/2204.10144

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