ReF -- Rotation Equivariant Features for Local Feature Matching

Peri, Abhishek; Mehta, Kinal; Mishra, Ankit; Milford, Michael; Garg, Sourav; Krishna, K. Madhava

doi:10.48550/arxiv.2203.05206

2022

DOI: 10.48550/arxiv.2203.05206

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ReF -- Rotation Equivariant Features for Local Feature Matching

Abhishek Peri¹,

Kinal Mehta²,

Ankit Mishra³

et al.

Abstract: SuperPointFig. 1: Overview. Top and Bottom: R2D2 (made with standard CNN layers) and SuperPoint perform poorly where there are rotation viewpoint changes. Center: ReF (Ours) provides more robust, dense, and correct correspondences under high viewpoint changes.

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ReF -- Rotation Equivariant Features for Local Feature Matching

Abstract: SuperPointFig. 1: Overview. Top and Bottom: R2D2 (made with standard CNN layers) and SuperPoint perform poorly where there are rotation viewpoint changes. Center: ReF (Ours) provides more robust, dense, and correct correspondences under high viewpoint changes.

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References 24 publications

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