Sparse Voxel Octrees

Sparse Voxel Octrees is a hierarchical spatial data structure that organizes voxel data in a tree-based octree format, where each node represents a volumetric region and only non-uniformly sampled, relevant voxels are retained to enable efficient multiresolution representation and rendering of large-scale 3D volumetric datasets.

18

Publications

1.1K

Citations

39

Authors

18

Institutions

Publications per year

2017–2026

5

Authors

39

  1. HS
    Hans‐Peter Seidel

    Max Planck Institute for Informatics, Germany

    3 publications · 253 citations

    3

    h-index

  2. ES
    Erik Sintorn

    Chalmers University of Technology, Sweden

    3 publications · 147 citations

    3

    h-index

  3. UA
    Ulf Assarsson

    Chalmers University of Technology, Sweden

    3 publications · 147 citations

    3

    h-index

  4. MS
    Michael Schwarz

    Yahoo (United States), United States

    3 publications · 253 citations

    3

    h-index

  5. VK
    Viktor Kämpe

    Chalmers University of Technology, Sweden

    3 publications · 147 citations

    3

    h-index

1–5 of 39

Venues

  1. ACM Transactions on Graphics

    TOG · 3 publications · 242 citations

    3

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 153 citations

    2

    h-index

  3. IEEE Access

    1 publications · 150 citations

    1

    h-index

  4. ISPRS International Journal of Geo-Information

    IJGI · 1 publications · 26 citations

    1

    h-index

  5. Computer Graphics Forum

    1 publications · 35 citations

    1

    h-index

1–5