MeshDenoising
=============

**Description**

Denoise your mesh Mesh models generated by 3D scanner always contain
noise. It is necessary to remove the noise from the meshes. Mesh
denoising: remove noises, feature-preserving
``https://www.cs.cf.ac.uk/meshfiltering/index_files/Doc/Random%20Walks%20for%20Mesh%20Denoising.ppt``

settings

============================ ============================================================================================================================================================
Name                         Description
============================ ============================================================================================================================================================
input                        Input Mesh (OBJ file format)
Denoising Iterations         Number of denoising iterations (0 - 30)
Mesh Update Closeness Weight Closeness weight for mesh update, must be positive(0 - 0.1) (0.001)
Lambda                       ``Regularization weight. (0.0 // 10.0 // 0.01) 2``
Eta                          Gaussian standard deviation for spatial weight, scaled by the average distance between adjacent face centroids. Must be positive.(0.0 - 20) (1.5)
\                            Gaussian standard deviation for guidance weight (0.0-10) (1.5)
\                            Gaussian standard deviation for signal weight. (0.0-5) (0.3)
Mesh Update Mesh             Mesh Update Method \* ITERATIVE\ *UPDATE (default): ShapeUp styled iterative solver \* POISSON*\ UPDATE: Poisson-based update from [Wang et al. 2015] (0, 1)
Verbose Level                ['fatal', 'error', 'warning', 'info', 'debug', 'trace']
Output                       ``Output mesh (OBJ file format).``
============================ ============================================================================================================================================================

Mesh Update Method
``https://www.researchgate.net/publication/275104101_Poisson-driven_seamless_completion_of_triangular_meshes``

Wang et al.
``https://dl.acm.org/citation.cfm?id=2818068``
   
**Detailed Description**
 
A larger value of Lambda or Eta leads to a smoother filtering result.
 
From: "Static/Dynamic Filtering for Mesh Geometry" by Zhang Et al. https://arxiv.org/pdf/1712.03574.pdf