Feature Preserving Smoothing Method for Noised Meshes
نویسندگان
چکیده
منابع مشابه
Feature-Preserving Anisotropic Smoothing for Meshes with Large-Scale Noise
This paper presents a smoothing method which preserves features for a triangular mesh even when large-scale noise are included because of measurement errors. First, scale-dependent discrete Laplacian is introduced along with boundary Laplacian to deal with an open mesh. Then, a method for feature detection which uses the values by these Laplacians is constructed. Furthermore, anisotropic diffus...
متن کاملA Feature-Preserving Adaptive Smoothing Method for Early Vision
A novel adaptive smoothing method is proposed for noise removal and feature preservation. Unlike the previous methods, we adopt two proposed measures to detect discontinuities in an image. Spatial variance is employed to form a measure for detecting contextual discontinuities that can be used for feature preservation and control of the smoothing speed, and another measure is proposed to detect ...
متن کاملMeshes Preserving Minimum Feature Size
The minimum feature size of a planar straight-line graph is the minimum distance between a vertex and a nonincident edge. When a polygon is partitioned into a mesh, the degradation is the ratio of original to final minimum feature size. We show that some planar straight-line graphs cannot be triangulated with constant degradation, even with an unbounded number of Steiner points and triangles. T...
متن کاملParallel Feature-Preserving Mesh Smoothing
We present a parallel approach for optimizing surface meshes by redistributing vertices on a feature-aware higher-order reconstruction of a triangulated surface. Our method is based on a novel extension of the fundamental quadric, called the medial quadric. This quadric helps solve some basic geometric problems, including detection of ridges and corners, computation of one-sided normals along r...
متن کاملFeature preserving variational smoothing of terrain data
In this paper, we present a novel two-step, variational and feature preserving smoothing method for terrain data. The first step computes the field of 3D normal vectors from the height map and smoothes them by minimizing a robust penalty function of curvature. This penalty function favors piecewise planar surfaces; therefore, it is better suited for processing terrain data then previous methods...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Japan Society for Precision Engineering
سال: 2007
ISSN: 0912-0289,1882-675X
DOI: 10.2493/jjspe.73.699