Mesh Parameterization: Theory and Practice - PowerPoint PPT Presentation

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Mesh Parameterization: Theory and Practice

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triangles. parameter mesh. parameter points. parameter triangles. parameterization. piecewise linear map ... is a convex combination of its neighbors. with weights ... – PowerPoint PPT presentation

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Title: Mesh Parameterization: Theory and Practice


1
Mesh ParameterizationTheory and Practice
  • Barycentric Mappings

2
Triangle Mesh Parameterization
  • triangle mesh
  • vertices
  • triangles
  • parameter mesh
  • parameter points
  • parameter triangles
  • parameterization
  • piecewise linear map

3
The Spring Model
  • replace edges by springs
  • fix boundary vertices
  • relaxation process
  • energy of spring between and
  • spring constant
  • spring length
  • total energy

4
Energy Minimization
  • interior vertices
  • s neighbours
  • overall spring energy
  • partial derivative

5
Energy Minimization
  • minimum of spring energy
  • for all interior points
  • is a convex combination of its neighbors
  • with weights

6
The Linear System
  • separation of variables
  • unknown parameter points fixed
  • linear system

7
The Linear System
  • solve system twice
  • for and coordinates of interior
    parameter points
  • matrix is
  • sparse
  • diagonally dominant
  • nonsingular
  • as long as all

8
Choice of Weights
  • uniform spring constants
  • ,
  • chordal spring constants
  • ,
  • no fold-overs for convex boundary
  • no linear reproduction
  • planar meshes are distorted

9
Choice of Weights
  • suppose is a planar mesh
  • specify weights such that
  • barycentric coordinates of
  • then solving
  • reproduces

10
Barycentric Coordinates
  • Wachspress coordinates
  • discrete harmonic coordinates
  • mean value coordinates

normalization
11
Example Pyramid
Wachspress
discrete harmonic
mean value
  • fold-overs for negative coordinates
  • affine combinations
    ,
  • numerically unstable if
  • mean value coordinates guaranteed to be positive

12
The Boundary Mapping
  • chordal parameterization around convex shape
  • circle
  • rectangle
  • projection into least squares plane
  • may lead to fold-overs
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