Variational Formulations and PDEs ononto Implicit Surfaces Good Bye Triangulated Surfaces - PowerPoint PPT Presentation

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Variational Formulations and PDEs ononto Implicit Surfaces Good Bye Triangulated Surfaces

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Title: Variational Formulations and PDEs ononto Implicit Surfaces Good Bye Triangulated Surfaces


1
Variational Formulations and PDEs on/onto
Implicit SurfacesGood Bye Triangulated Surfaces?
  • Guillermo Sapiro
  • University of Minnesota
  • With M. Bertalmio, L. T. Cheng, S. Osher, and F.
    Memoli

2
The problem
  • Solve PDEs and variational problems for data
    defined from a generic surface onto a generic
    surface
  • Surfaces from the data bases at Stanford and
    GATECH

3
Variational problems and PDEs on surfaces?
  • Mean curvature motion (Ilmanen, etc)
  • Mathematical physics
  • Computer graphics
  • Image processing
  • Regularization of inverse problems (e.g.,
    EEGMRI, e.g., Faugeras et al.)
  • 3D surface mapping

4
Examples
  • Images from G. Turk , J. Dorsey, P. Thompson

5
Classical approach
  • Work with triangulated/meshed surfaces
  • Discretization on non-uniform grids
  • Projections onto triangulated surfaces
  • Limit to functions (e.g., Kimmel)
  • Very limited framework
  • Work on surfaces mapped to the plane
  • Loose the geometry, ads complexity
  • No work on target surfaces reported

6
Our approach
  • Define the variational problems and PDEs
    following the theory of Harmonic Maps
  • Well defined framework
  • Represent the surfaces in implicit form
  • Classical numerics on Cartesian grids
  • No projections
  • Motivated by Osher-Sethian level-sets and Osher
    variational levels-sets (though here the surface
    is not moving)

7
Harmonic Maps Theory (Tang-Sapiro-Caselles)
  • Find a map between manifolds (M,g) and (N,h)
    minimizing
  • Gradient descent (p2)

See also Perona, Chan-Shen, Sochen et al., Hoppe
et al, Zorin et al., etc
8
ExampleIsotropic direction smoothing
9
ExampleColor Image Enhancement
10
The embedding
  • IM -gt N
  • M is a generic surface (domain)
  • With Bertalmio, Cheng, Osher
  • N is a generic surface (target)
  • With Memoli, Osher

11
Embedding the domain surface
  • Example IM-gtR
  • A map from a generic domain surface onto the real
    line

12
Embedding the domain surface (cont.)
Figure from G. Turk
13
Embedding the domain surface (cont.)
14
Embedding the domain surface (cont.)
  • The gradient descent flow Heat flow on intrinsic
    surfaces
  • All the computations are done in the Cartesian
    grid!

15
Example
16
Example
17
Example
18
Example
19
L1 Denoising on Implicit Surfaces
20
Example Curvature Smoothing
21
Example
22
Example L1 denoising with constraints
23
Example Debluring
24
Unit vector/color denoising on implicit surfaces
  • I is a map from the 3D surface to the 3D unit
    sphere

25
Example Chroma denoising
26
Example General vector denoising
Original
L1
L2
27
Pattern formation on implicit 3D surfaces
  • Follows Turing, Kass-Witkin, Turk

28
Examples
29
Example
30
Example
31
Example
32
Vector field visualization
33
Vector field visualization
34
Embedding the target manifold
  • IM-gtN

35
Embedding the target manifold (cont.)
36
Concluding remarks
  • No more need for triangulated surfaces for
    variational problems and PDEs
  • Results locally independent of embedding function
  • Extended to open domain and target surfaces
  • Open problems More theory
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