Radiology

Sociology

Noise reduction

Mathematics

Social science

Noise (video)

Algorithm

Image (mathematics)

Similarity (geometry)

Statistics

Mathematical analysis

Weight function

Estimator

Artificial intelligence

Bilateral filter

Weighting

Anisotropic diffusion

Face (sociological concept)

Computer science

Medicine

IEEE Transactions on Visualization and Computer Graphics

This paper presents a simple and effective two-stage mesh denoising algorithm, where in the first stage, face normal filtering is done by using bilateral normal filtering in a robust statistics framework. Tukey's bi-weight function is used as similarity function in the bilateral weighting, which is a robust estimator and stops the diffusion at sharp edges to retain features and removes noise from flat regions effectively. In the second stage, an edge-weighted Laplace operator is introduced to compute a differential coordinate. This differential coordinate helps the algorithm to produce a high-quality mesh without any face normal flips and makes the method robust against high-intensity noise.

Robust and High Fidelity Mesh Denoising