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On geometric variational models for inpainting surface holes

Publication ,  Journal Article
Caselles, V; Haro, G; Sapiro, G; Verdera, J
Published in: Computer Vision and Image Understanding
September 1, 2008

Geometric approaches for filling-in surface holes are introduced and studied in this paper. The basic principle is to choose the completing surface as one which minimizes a power of the mean curvature. We interpret this principle in a level set formulation, that is, we represent the surface of interest in implicit form and we construct an energy functional for the embedding function u. We first explore two different formulations (which can be considered as alternative) inspired by the above principle: in the first one we write the mean curvature as the divergence of the normal vector field θ to the isosurfaces of u; in the second one we used the signed distance function D to the surface as embedding function and we write the mean curvature in terms of it. Then we solve the Euler-Lagrange equations of these functionals which consist of a system of second order partial differential equations (PDEs) for u and θ, in the first case, or a fourth order PDE for D in the second case. Then, simpler methods based on second order elliptic PDEs, like Laplace equation or the absolutely minimizing Lipschitz extension, are also proposed and compared with the above higher order methods. The theoretical and computational framework, as well as examples with synthetic and real data, are presented in this paper. © 2008 Elsevier Inc. All rights reserved.

Duke Scholars

Published In

Computer Vision and Image Understanding

DOI

EISSN

1090-235X

ISSN

1077-3142

Publication Date

September 1, 2008

Volume

111

Issue

3

Start / End Page

351 / 373

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4607 Graphics, augmented reality and games
  • 4603 Computer vision and multimedia computation
  • 4602 Artificial intelligence
  • 1702 Cognitive Sciences
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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Caselles, V., Haro, G., Sapiro, G., & Verdera, J. (2008). On geometric variational models for inpainting surface holes. Computer Vision and Image Understanding, 111(3), 351–373. https://doi.org/10.1016/j.cviu.2008.01.002
Caselles, V., G. Haro, G. Sapiro, and J. Verdera. “On geometric variational models for inpainting surface holes.” Computer Vision and Image Understanding 111, no. 3 (September 1, 2008): 351–73. https://doi.org/10.1016/j.cviu.2008.01.002.
Caselles V, Haro G, Sapiro G, Verdera J. On geometric variational models for inpainting surface holes. Computer Vision and Image Understanding. 2008 Sep 1;111(3):351–73.
Caselles, V., et al. “On geometric variational models for inpainting surface holes.” Computer Vision and Image Understanding, vol. 111, no. 3, Sept. 2008, pp. 351–73. Scopus, doi:10.1016/j.cviu.2008.01.002.
Caselles V, Haro G, Sapiro G, Verdera J. On geometric variational models for inpainting surface holes. Computer Vision and Image Understanding. 2008 Sep 1;111(3):351–373.
Journal cover image

Published In

Computer Vision and Image Understanding

DOI

EISSN

1090-235X

ISSN

1077-3142

Publication Date

September 1, 2008

Volume

111

Issue

3

Start / End Page

351 / 373

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4607 Graphics, augmented reality and games
  • 4603 Computer vision and multimedia computation
  • 4602 Artificial intelligence
  • 1702 Cognitive Sciences
  • 0801 Artificial Intelligence and Image Processing