Decoupling local geometric features from the spatial location of a mesh is crucial for feature-
preserving mesh denoising. This paper focuses on first order features, ie, facet normals, and�…

In recent years researchers have made noticeable progresses in mesh denoising, that is,
recovering high-quality 3D models from meshes corrupted with noise (raw or synthetic)�…

In this paper, we introduce a feature-preserving denoising algorithm. It is built on the
premise that the underlying surface of a noisy mesh is piecewise smooth, and a sharp�…

Most mesh denoising techniques utilize only either the facet normal field or the vertex
normal field of a mesh surface. The two normal fields, though contain some redundant�…

We present a simple and fast mesh denoising method, which can remove noise effectively
while preserving mesh features such as sharp edges and corners. The method consists of�…

Mesh denoising is crucial for improving noisy meshes acquired from scanning devices and
digitization processes. This paper proposes a general, robust approach for mesh denoising�…

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�…

Mesh denoising is a classical, yet not well-solved problem in digital geometry processing.
The challenge arises from noise removal with the minimal disturbance of surface intrinsic�…

This paper presents a two-stage mesh denoising algorithm. Unlike other traditional
averaging approaches, our approach uses an element-based normal voting tensor to�…

We present an anisotropic mesh denoising algorithm that is effective, simple and fast. This is
accomplished by filtering vertices of the mesh in the normal direction using local�…