Multi View Matching

with Federica Arrigoni and Eleonora Maset

Overview

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. Our solution is based on a spectral decomposition, resulting in a closed-form efficient algorithm, that can efficiently handle datasets of hundreds of images.

Code

MATLAB code.

Reference papers

1. Maset, E.; Arrigoni, F. and Fusiello, A. Practical and Efficient Multi-View Matching. In The IEEE International Conference on Computer Vision (ICCV), 2017. pdf
2. Arrigoni, F.; Maset, E. and Fusiello, A. Synchronization in the Symmetric Inverse Semigroup. In Proceedings of the International Conference on Image Analysis and Processing (ICIAP), pages 70-81, Lecture Notes in Computer Science, 2017. pdf