Mesh Smoothing via Mean and Median Filtering Applied to Face Normals
نویسندگان
چکیده
In this paper, we introduce iterative mean and median filtering schemes for smoothing noisy 3D shapes given as triangle meshes. Our main idea consists of applying mean and median filtering schemes to mesh normals and then update the mesh vertex position in order to fit the mesh to the modified normals. We also give a quantitative evaluation of the proposed mesh filtering schemes and compare them with conventional mesh smoothing procedures such as the Laplacian smoothing flow and the mean curvature flow. We demonstrate that our mean and median mesh filtering methods outperform the conventional Laplacian and mean curvature flows in terms of accuracy and resistance to oversmoothing.
منابع مشابه
High-Boost Mesh Filtering for 3-D Shape Enhancement
In this paper, we propose a new technique for enhancing 3-D shapes approximated by triangle meshes: high-boost mesh filtering. Concepts based on the high-boost filter in signal and image processing are used for the development of the mesh filtering. An algorithm of the high-boost mesh filtering consists of affecting the high-boost filter to face normals on a triangle mesh and updating mesh vert...
متن کاملMesh Median Filter for Smoothing 3-D Polygonal Surfaces
In this paper, we introduce a new mesh filtering method: a mesh median filter. This is an application of the median filter to smoothen 3-D noisy shapes given by triangle meshes. An algorithm of the mesh median filter is realized by applying the median filter to face normals on triangle meshes and updating mesh vertex positions to make them fit to the filtered normals. As an advanced modificatio...
متن کاملLinear Anisotropic Mesh Filtering
No algorithm for unconstrained polygon mesh denoising can beat Laplacian smoothing in simplicity and ease of implementation. In this paper we introduce a new algorithm for polygon meshes smoothing with vertex position and face normal interpolatory constraints composed of two phases. First the face normals are filtered independently of vertex positions. Then the vertex positions are filtered int...
متن کاملMesh Smoothing by Adaptive and Anisotropic Gaussian Filter Applied to Mesh Normals
In this paper, we develop a fully automatic mesh filtering method that adaptively smoothes a noisy mesh and preserves sharp features and features consisting of only few triangle strips. In addition, it outperforms other conventional smoothing methods in terms of accuracy.
متن کاملStatic/Dynamic Filtering for Mesh Geometry
The joint bilateral filter, which enables feature-preserving signal smoothing according to the structural information from a guidance, has been applied for various tasks in geometry processing. Existing methods either rely on a static guidance that may be inconsistent with the input and lead to unsatisfactory results, or a dynamic guidance that is automatically updated but sensitive to noises a...
متن کامل