Dynamic Surface Reconstruction

Dynamic Surface Reconstruction is a computational methodology within surface reconstruction that extends static geometric modeling by incorporating temporal coherence and adaptability to reconstruct evolving three-dimensional surfaces from time-varying data sequences.

77

Publications

5K

Citations

359

Authors

148

Institutions

Publications per year

2017–2026

33

Authors

359

  1. AH
    Adrian Hilton

    University of Surrey, United Kingdom

    3 publications · 144 citations

    3

    h-index

  2. YJ
    Yu Ji

    University of Delaware, United States

    2 publications · 82 citations

    2

    h-index

  3. NM
    Nigel Morris

    University of Toronto, Canada

    2 publications · 164 citations

    2

    h-index

  4. GC
    George Comşa

    Forschungszentrum Jülich, Germany

    2 publications · 71 citations

    2

    h-index

  5. MM
    Marcus Magnor

    Technische Universität Braunschweig, Germany

    2 publications · 22 citations

    2

    h-index

1–5 of 359

Venues

  1. Surface Science

    5 publications · 164 citations

    5

    h-index

  2. Computer-Aided Design

    3 publications · 91 citations

    3

    h-index

  3. ACM Transactions on Graphics

    TOG · 3 publications · 191 citations

    3

    h-index

  4. Advanced Functional Materials

    2 publications · 97 citations

    2

    h-index

  5. Advanced Energy Materials

    2 publications · 736 citations

    2

    h-index

1–5