Wasserstein distances along radial projections of the input measures. The first method
makes use of the Radon transform of the measures, and the second is the solution of a
convex optimization problem over the space of measures. We show several properties of
these barycenters and explain their relationship. We show numerical approximation
schemes based on a discrete Radon transform and on the resolution of a non-convex …