3D Data Compression
3D Data Compression is a computational technique that reduces the storage and transmission requirements of three-dimensional data by eliminating redundancy while preserving structural fidelity, distinguished from other compression methods by its specific adaptation to the geometric and topological characteristics of 3D representations.
489
Publications
23.6K
Citations
1.1K
Authors
437
Institutions
Publications per year
2017–2026
113
Parents
489
Spectral compression of mesh geometry
Zachi Karni, Craig Gotsman · 2000 · 649 citations · Full text
Progressive geometry compression
Andrei Khodakovsky, Peter Schröder, Wim Sweldens · 2000 · 567 citations
1–5 of 489
1.1K
13
h-index
13
h-index
11
h-index
9
h-index
University of North Carolina at Chapel Hill, United States
9 publications · 353 citations
9
h-index
1–5 of 1.1K
437
University of Southern California
Los Angeles, United States
18 h-index
32 publications
2.6K citations
Georgia Institute of Technology
Atlanta, United States
17 h-index
36 publications
3.6K citations

Centre National de la Recherche Scientifique
Paris, France
14 h-index
41 publications
2.4K citations
Shandong University
Jinan, China
11 h-index
23 publications
1.5K citations
Institut Mines-Télécom
Palaiseau, France
10 h-index
24 publications
1.6K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
10 h-index
16 publications
474 citations

City University of Hong Kong
Hong Kong, Hong Kong
9 h-index
13 publications
736 citations
Seoul National University
Seoul, South Korea
8 h-index
18 publications
421 citations
1–8 of 437
24 publications · 1.5K citations
19
h-index
15 publications · 303 citations
13
h-index
10 publications · 484 citations
10
h-index
10 publications · 271 citations
10
h-index
10 publications · 559 citations
10
h-index
1–5