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

Authors

1.1K

  1. JR
    Jarek Rossignac

    Georgia Institute of Technology, United States

    15 publications · 2.4K citations

    13

    h-index

  2. CJ
    C.‐C. Jay Kuo

    University of Southern California, United States

    13 publications · 1.1K citations

    13

    h-index

  3. CK
    Chang‐Su Kim

    Korea University, South Korea

    13 publications · 594 citations

    11

    h-index

  4. JH
    Junhui Hou

    City University of Hong Kong, Hong Kong SAR China

    9 publications · 505 citations

    9

    h-index

  5. MI
    Martin Isenburg

    University of North Carolina at Chapel Hill, United States

    9 publications · 353 citations

    9

    h-index

1–5 of 1.1K

Venues

  1. 19

    h-index

  2. 13

    h-index

  3. IEEE Transactions on Image Processing

    10 publications · 484 citations

    10

    h-index

  4. IEEE Transactions on Multimedia

    10 publications · 271 citations

    10

    h-index

  5. Computer Graphics Forum

    10 publications · 559 citations

    10

    h-index

1–5