Variational Surface Reconstruction

Variational Surface Reconstruction is a methodological framework within surface reconstruction that formulates the reconstruction problem as an energy minimization task, where the recovered surface is derived by optimizing a functional that balances data fidelity and regularity constraints.

32

Publications

2.8K

Citations

65

Authors

46

Institutions

Publications per year

2017–2026

4

Authors

65

  1. DT
    Demetri Terzopoulos

    University of Toronto, Canada

    3 publications · 501 citations

    3

    h-index

  2. PR
    Patrick Reuter

    Laboratoire Bordelais de Recherche en Informatique, France

    2 publications · 88 citations

    2

    h-index

  3. PD
    Paul Dupuis

    Brown University, United States

    2 publications · 117 citations

    2

    h-index

  4. IT
    Ireneusz Tobor

    Laboratoire Bordelais de Recherche en Informatique, France

    2 publications · 88 citations

    2

    h-index

  5. CS
    Christophe Schlick

    Laboratoire Bordelais de Recherche en Informatique, France

    2 publications · 88 citations

    2

    h-index

1–5 of 65

Venues

  1. Computer Graphics Forum

    3 publications · 393 citations

    3

    h-index

  2. 2

    h-index

  3. ACM Transactions on Graphics

    TOG · 2 publications · 146 citations

    2

    h-index

  4. Image and Vision Computing

    2 publications · 138 citations

    2

    h-index

  5. Multiscale Modeling and Simulation

    MMS · 1 publications · 54 citations

    1

    h-index

1–5