返回
Surface mesh denoising via diffusing gradient field
DOI:10.1016/j.optlaseng.2010.08.014.png)
摘要
En 中文
Surface mesh denoising is an important preprocess for many digital geometrical applications. Unlike most previous smoothing algorithms, which are vertex- or normal-based, we present a smoothing approach based on gradient field. The proposed algorithm first applies an extended non-local means image filter to diffuse mesh gradient field and then reconstructs a smoothed surface from the smoothed field by solving the Poisson equations in the least-squares sense. Experimental results on various data demonstrate that the proposed approach can successfully remove noise from meshes while preserving geometrical detail features of the original object and avoiding significant volume shrinkage. (C) 2010 Elsevier Ltd. All rights reserved.
Keyword:
Mesh processing
Mesh denoising
Gradient field
Non-local means filtering
期刊
IF:
3.7
论文数:
7.3K
被引数:
1.7W
机构
引用论文
Rapid charging strategy in the constant voltage mode for a high power Li-Ion battery一种大功率锂离子电池的恒压快速充电策略
Characterization of the impairment of the uptake of apoptotic polymorphonuclear cells by monocyte subpopulations in systemic lupus erythematosus
Lupus
IF0

