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

Published: July 17, 2025 | arXiv ID: 2507.13530v1

By: Lukas Baumgärtner , Ronny Bergmann , Roland Herzog and more

Potential Business Impact:

Cleans up bumpy 3D shapes on computers.

Business Areas:
A/B Testing Data and Analytics

We propose a novel formulation for the second-order total generalized variation (TGV) of the normal vector on an oriented, triangular mesh embedded in $\mathbb{R}^3$. The normal vector is considered as a manifold-valued function, taking values on the unit sphere. Our formulation extends previous discrete TGV models for piecewise constant scalar data that utilize a Raviart-Thomas function space. To exctend this formulation to the manifold setting, a tailor-made tangential Raviart-Thomas type finite element space is constructed in this work. The new regularizer is compared to existing methods in mesh denoising experiments.

Page Count
27 pages

Category
Computer Science:
CV and Pattern Recognition