Synchronisation of Partial Multi-Matchings via Non-negative Factorisations
Florian Bernard, Johan Thunberg, Jorge Goncalves, Christian Theobalt

TL;DR
This paper introduces a novel non-negative factorisation approach for permutation synchronisation with partial matchings, ensuring cycle-consistency and outperforming existing methods in matching tasks.
Contribution
The authors propose a new algorithm based on non-negative matrix factorisation and a rotation scheme for initialization, guaranteeing cycle-consistent solutions for partial permutation synchronisation.
Findings
The method guarantees cycle-consistent results.
It outperforms existing approaches in matching accuracy.
The approach effectively handles partial permutations.
Abstract
In this work we study permutation synchronisation for the challenging case of partial permutations, which plays an important role for the problem of matching multiple objects (e.g. images or shapes). The term synchronisation refers to the property that the set of pairwise matchings is cycle-consistent, i.e. in the full matching case all compositions of pairwise matchings over cycles must be equal to the identity. Motivated by clustering and matrix factorisation perspectives of cycle-consistency, we derive an algorithm to tackle the permutation synchronisation problem based on non-negative factorisations. In order to deal with the inherent non-convexity of the permutation synchronisation problem, we use an initialisation procedure based on a novel rotation scheme applied to the solution of the spectral relaxation. Moreover, this rotation scheme facilitates a convenient Euclidean…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
