We present a method for reconstruction of surfaces in R3 from point clouds. Given a set of points, we construct a triangular mesh approximation of a surface that they represent. Th...
Patrik Daniel, Matej Medl'a, Karol Mikula, Mariana...
The enhancement and detection of elongated structures in noisy image data is relevant for many biomedical applications. To handle complex crossing structures in 2D images, 2D orien...
We consider a bilevel optimization approach for parameter learning in nonsmooth variational models. Existing approaches solve this problem by applying implicit differentiation to ...
Abstract. We propose a variational method for artifact-free video decompression that is capable of processing any MPEG-2 encoded movie. The method extracts, from a given MPEG-2 fi...
We provide a new, analytic kernel for scale space filtering of dMRI data. The kernel is an approximation for the Green’s function of a hypo-elliptic diffusion on the 3D rigid b...
Jorg M. Portegies, Gonzalo R. Sanguinetti, Stephan...
We present a new flexible wavefront propagation algorithm for the boundary value problem for sub-Riemannian (SR) geodesics in the roto-translation group SE(2) = R2 S1 with a metri...
Erik J. Bekkers, Remco Duits, Alexey Mashtakov, Go...
Discrete optimal transport solvers do not scale well on dense large problems since they do not explicitly exploit the geometric structure of the cost function. In analogy to contin...
We propose a method to reconstruct surfaces from oriented point clouds with non-uniform sampling and noise by formulating the problem as a convex minimization that reconstructs the...
Virginia Estellers, Michael Scott, Kevin Tew, Stef...