A sharpness dependent filter for mesh smoothing
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Cited by (69)
Adaptive and propagated mesh filtering
2023, CAD Computer Aided DesignCitation Excerpt :Yagou et al. [27] extended the mean and median filtering schemes in image processing to smoothing face normals. Chen et al. [28] introduced a method of automatically selecting filters, such as mean-filter or min-filter, according the local sharpness value of a mesh. Sun et al. [29] used random walks strategy to determine filtering weight.
HLO: Half-kernel Laplacian operator for surface smoothing
2020, CAD Computer Aided DesignA novel anisotropic second order regularization for mesh denoising
2019, Computer Aided Geometric DesignCitation Excerpt :Although there are lots of mesh denoising works in literature, reviewing all of the existing methods is beyond the scope of this paper. Interested readers can refer to the works (Chen and Cheng, 2005; Hildebrandt and Polthier, 2010) for a comprehensive review. Here, we only review noticeable methods which are closely related to this paper.
Feature-convinced mesh denoising
2019, Graphical ModelsPropagated mesh normal filtering
2018, Computers and Graphics (Pergamon)Citation Excerpt :The basic idea is calculating the weight based on the similarity between local neighborhoods of the face being processed and the other faces. Instead of updating the vertex positions directly, the approach of filtering face normals firstly and then updating vertex positions is adopted by more and more mesh filters [1,5,22,23]. The main difference among these methods is their normal filtering strategies.
Robust reconstruction of 2D curves from scattered noisy point data
2014, CAD Computer Aided Design