Scalable Surface Reconstruction

Scalable Surface Reconstruction is a surface reconstruction method that enables the efficient and accurate recovery of 3D surfaces from large-scale point cloud data while maintaining computational tractability and geometric fidelity across varying data sizes.

45

Publications

2.4K

Citations

139

Authors

64

Institutions

Publications per year

2017–2026

16

Authors

139

  1. AZ
    Avideh Zakhor

    University of California, Berkeley, United States

    2 publications · 99 citations

    2

    h-index

  2. YL
    Yiming Luo

    Huazhong University of Science and Technology, China

    2 publications · 76 citations

    2

    h-index

  3. GA
    Gizem Akinci

    University of Freiburg, Germany

    2 publications · 74 citations

    2

    h-index

  4. JH
    Joachim Hertzberg

    Osnabrück University, Germany

    2 publications · 48 citations

    2

    h-index

  5. AG
    Antoine Guédon

    Université de Rouen Normandie, France

    2 publications · 387 citations

    2

    h-index

1–5 of 139

Venues

  1. Computer Graphics Forum

    3 publications · 192 citations

    3

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 24 citations

    2

    h-index

  3. ACM Transactions on Graphics

    TOG · 2 publications · 434 citations

    2

    h-index

  4. The Visual Computer

    2 publications · 71 citations

    2

    h-index

  5. Computers & Graphics

    2 publications · 40 citations

    2

    h-index

1–5