Mesh Denoising with (Geo)Metric Fidelity

@article{Centin2018MeshDW,
  title={Mesh Denoising with (Geo)Metric Fidelity},
  author={Marco Centin and Alberto Signoroni},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2018},
  volume={24},
  pages={2380-2396}
}
Working with noisy meshes and aiming at providing high-fidelity 3D object models without tampering the metric quality of the acquisitions, we propose a mesh denoising technique that, through a normal-diffusion process guided by a curvature saliency map, is able to preserve and emphasize the natural object features, concurrently allowing the introduction of a bound on the maximum distance from the original model. Moreover, both the position of the mesh vertices and the edge orientations are… CONTINUE READING
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