Octrees
Octree is a hierarchical spatial partitioning data structure that recursively subdivides three-dimensional space into eight octants, distinguishing itself from other spatial partitioning methods by its fixed branching factor of eight and its ability to efficiently represent volumetric data at multiple scales.
250
Publications
18.6K
Citations
549
Authors
236
Institutions
Publications per year
2017–2026
40
250
OctoMap: an efficient probabilistic 3D mapping framework based on octrees
Armin Hornung, Kai M. Wurm, Maren Bennewitz et al. · Autonomous Robots · 2013 · 2.8K citations
OctNet: Learning Deep 3D Representations at High Resolutions
Gernot Riegler, Ali Osman Ulusoy, Andreas Geiger · 2017 · 1.7K citations
ACM Transactions on Graphics · 2017 · 843 citations · Full text
Dual contouring of hermite data
Tao Ju, Frank Losasso, Scott Schaefer et al. · 2002 · 591 citations
1–5 of 250
549
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6
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5
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5
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1–5 of 549
236
University of Maryland, College Park
College Park, United States
14 h-index
20 publications
888 citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
14 publications
735 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
6 h-index
13 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
10 publications
255 citations
The University of Texas at Austin
Austin, United States
5 h-index
11 publications
808 citations
Rensselaer Polytechnic Institute
Troy, United States
5 h-index
12 publications
288 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
10 publications
373 citations

Western University
London, Canada
4 h-index
7 publications
301 citations
1–8 of 236
15 publications · 579 citations
14
h-index
13 publications · 927 citations
12
h-index
11 publications · 1.3K citations
11
h-index
TOG · 11 publications · 1.2K citations
11
h-index
TVCG · 7 publications · 490 citations
7
h-index
1–5