activity
20202026
most citedMesh Denoising and Inpainting using the Total Variation of the Normal and a Shape Newton Approach

2 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

math.OC2026

A First Step Towards Mesh-Free Probabilistic Shape Optimization

Stephan Schmidt, Maximilian Würschmidt

We present an initial implementation of a probabilistic PDE-constrained shape optimization algorithm. Our method is based on a novel probabilistic representation of the shape deriv…

cs.CV2025

Geometry Denoising with Preferred Normal Vectors

Manuel Weiß, Lukas Baumgärtner, Roland Herzog +1

We introduce a new paradigm for geometry denoising using prior knowledge about the surface normal vector. This prior knowledge comes in the form of a set of preferred normal vector…

cs.CV2025

Total Generalized Variation of the Normal Vector Field and Applications to Mesh Denoising

Lukas Baumgärtner, Ronny Bergmann, Roland Herzog +2

We propose a novel formulation for the second-order total generalized variation (TGV) of the normal vector on an oriented, triangular mesh embedded in . The normal vector is…

cs.CV2024

Two Models for Surface Segmentation using the Total Variation of the Normal Vector

Manuel Weiß, Lukas Baumgärtner, Laura Weigl +3

We consider the problem of surface segmentation, where the goal is to partition a surface represented by a triangular mesh. The segmentation is based on the similarity of the norma…

math.NA2023

Medical Image Registration using optimal control of a linear hyperbolic transport equation with a DG discretization

Bastian Zapf, Johannes Haubner, Lukas Baumgärtner +1

Patient specific brain mesh generation from MRI can be a time consuming task and require manual corrections, e.g., for meshing the ventricular system or defining subdomains. To add…

math.OC2022★ 1 cited

The Proximal Map of the Weighted Mean Absolute Error

Lukas Baumgärtner, Roland Herzog, Stephan Schmidt +1

We investigate the proximal map for the weighted mean absolute error function. An algorithm for its efficient and vectorized evaluation is presented. As a demonstration, this algor…

math.NA2020★ 2 cited

Mesh Denoising and Inpainting using the Total Variation of the Normal and a Shape Newton Approach

Lukas Baumgärtner, Ronny Bergmann, Roland Herzog +3

We present a novel approach to denoising and inpainting problems for surface meshes. The purpose of these problems is to remove noise or fill in missing parts while preserving impo…