Web: https://www.reddit.com/r/computervision/comments/upftc3/a_case_for_using_rotation_invariant_features_in/

May 14, 2022, 12:03 p.m. | /u/moetsi_op

Computer Vision reddit.com

By: Georg Bokman and Fredrik Kahl: [https://arxiv.org/pdf/2204.10144.pdf](https://arxiv.org/pdf/2204.10144.pdf)

(Accepted to Image Matching Workshop CVPR 2022)

**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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