Robust affine point matching via quadratic assignment on Grassmannians
2023-03-05Code Available0· sign in to hype
Alexander Kolpakov, Michael Werman
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- github.com/sashakolpakov/roamOfficialIn papernone★ 4
- github.com/sashakolpakov/granniOfficialIn papernone★ 4
- github.com/sashakolpakov/ragOfficialIn papernone★ 4
Abstract
Robust Affine Matching with Grassmannians (RoAM) is a new algorithm to perform affine registration of point clouds. The algorithm is based on minimizing the Frobenius distance between two elements of the Grassmannian. For this purpose, an indefinite relaxation of the Quadratic Assignment Problem (QAP) is used, and several approaches to affine feature matching are studied and compared. Experiments demonstrate that RoAM is more robust to noise and point discrepancy than previous methods.