activity
20202025
most citedMesh Denoising and Inpainting using the Total Variation of the Normal and a Shape Newton Approach

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

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.OC2024

The Riemannian Convex Bundle Method

Ronny Bergmann, Roland Herzog, Hajg Jasa

We introduce the convex bundle method to solve convex, non-smooth optimization problems on Riemannian manifolds of bounded sectional curvature. Each step of our method is based on…

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…