Robust and High Fidelity Mesh Denoising
| Autor: | Konrad Polthier, Ulrich Reitebuch, Sunil Kumar Yadav |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
FOS: Computer and information sciences
Noise measurement Computer science Noise reduction Robust statistics 020207 software engineering 02 engineering and technology Filter (signal processing) Computer Graphics and Computer-Aided Design Graphics (cs.GR) Weighting High fidelity Computer Science - Graphics Robustness (computer science) Signal Processing 0202 electrical engineering electronic engineering information engineering Computer Vision and Pattern Recognition Algorithm Laplace operator Software |
| Popis: | This paper presents a simple and effective two-stage mesh denoising algorithm, where in the first stage, the face normal filtering is done by using the bilateral normal filtering in the 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. Revised Version |
| Databáze: | OpenAIRE |
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