Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks

no code implementations • 29 Nov 2021 • Faria Huq, Adrish Dey, Sahra Yusuf, Dena Bazazian, Tolga Birdal, Nina Miolane

Our experiments demonstrate that constraining the synchronization on the Riemannian manifold $SO(n)$ improves the estimation of the functional maps, while our RLFM sampler provides for the first time an uncertainty quantification of the results.

Graph Matching Uncertainty Quantification