Matches between images are represented by partial permutations, which constitute the so-called Symmetric Inverse Semigroup. Synchronization of these matches is tantamount to joining them in multi-view correspondences while enforcing loop-closure constraints. This paper proposes a novel solution for partial permutation synchronization based on a spectral decomposition. Experiments on both synthetic and real data shows that our technique returns accurate results in the presence of erroneous and missing matches, whereas a previous solution [12] gives accurate results only for total permutations.

Synchronization in the Symmetric Inverse Semigroup

Arrigoni, Federica;
2017-01-01

Abstract

Matches between images are represented by partial permutations, which constitute the so-called Symmetric Inverse Semigroup. Synchronization of these matches is tantamount to joining them in multi-view correspondences while enforcing loop-closure constraints. This paper proposes a novel solution for partial permutation synchronization based on a spectral decomposition. Experiments on both synthetic and real data shows that our technique returns accurate results in the presence of erroneous and missing matches, whereas a previous solution [12] gives accurate results only for total permutations.
2017
Image Analysis and Processing ICIAP 2017: 19th International Conference Proceedings 2: Image Analysis, Detection and Recognition
9783319685472
Multi-view matching
Partial permutations
Permutation synchronization
Spectral decomposition
Theoretical Computer Science
Computer Science (all)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1223971
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