期刊
COMPUTER AIDED GEOMETRIC DESIGN
卷 54, 期 -, 页码 49-60出版社
ELSEVIER
DOI: 10.1016/j.cagd.2017.02.011
关键词
Mesh denoising; Feature preserving; Vertex pre-filtering; L-1-median normal filtering
资金
- NSF [IIS 1148976]
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1148976] Funding Source: National Science Foundation
We propose a robust and effective mesh denoising approach consisting of three steps: vertex pre-filtering, L-1-median normal filtering, and vertex updating. Given an input noisy mesh model, our method generates a high quality model that preserves geometric features. Our approach is more robust than state of the art approaches when denoising models with different levels of noise and can handle models with irregular surface sampling. (C) 2017 Elsevier B.V. All rights reserved.
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