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Noise on Meshes

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from shadow scanning. Meshes obtained from real world objects are often noisy. ... Smoothed mesh. Scanned mesh. Photo. Mesh smoothing remains to be an active ... – PowerPoint PPT presentation

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Title: Noise on Meshes


1
Noise on Meshes
Meshes obtained from real world objects are often
noisy.
From range image of Stanford Bunny
Angel modelfrom shadow scanning
2
Mesh Smoothing is Required
MeshSmoothing
3
General smoothing procedure
Shape evolution
4
Laplacian Smoothing Flow
Average of the vectors to neighboring vertices
Move each vertex
Median direction
5
Umbrella operator
  • Umbrella operator
  • Weighted umbrella operator

Laplacian smoothing
6
Difficulties of smoothing
How to find appropriate l and number of iterations
Over-smoothing
Best
Noisy
Iterations
7
Properties of Laplacian flow
  • increases mesh regularity.
  • develops unnatural deformations.

High density sampling
Low density sampling
8
Discrete mean curvature flow
Speed discrete mean curvature
Direction normal
Move each vertex
9
Properties of mean curvature flow
  • increases mesh irregularity.
  • doesnt develop unnatural deformations.

High density sampling
Low density sampling
10
Discrete Mean Curvature
aj
P
Qj
bj
11
Explicit and Implicit Mesh Evolutions
Shape evolution
12
An Image Processing Approach
Smooth the field of mesh normals
2D Image
Triangle mesh
13
An Image Processing Approach
  • Smooth mesh normals
  • Reconstruct smoothed mesh from new normals

Smoothing normals
Reconstruction from mesh normals
14
An Image Processing Approach
Distance error
Derivative error
15
An Image Processing Approach
Reconstruction from smoothed normals
16
Many Problems Remain
Mesh smoothing remains to be an active research
area
Scanned mesh
Photo
Smoothed mesh
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