Pyramid Representation

Pyramid Representation is a multi-scale image representation method that organizes visual information in a hierarchical structure of progressively reduced resolutions, distinguishing itself by enabling efficient analysis through repeated smoothing and subsampling to capture features at multiple spatial scales.

569

Publications

81.1K

Citations

1.6K

Authors

561

Institutions

Publications per year

2017–2026

220

Variants

Pyramid Representations

Authors

1.6K

  1. AR
    Azriel Rosenfeld

    University of Maryland, College Park, United States

    9 publications · 321 citations

    9

    h-index

  2. EH
    Edward H. Adelson

    Massachusetts Institute of Technology, United States

    7 publications · 10.5K citations

    8

    h-index

  3. WT
    William T. Freeman

    Massachusetts Institute of Technology, United States

    6 publications · 5.1K citations

    6

    h-index

  4. PJ
    Peter J. Burt

    SRI International, United States

    6 publications · 2K citations

    6

    h-index

  5. WG
    Walter G. Kropatsch

    TU Wien, Austria

    6 publications · 221 citations

    6

    h-index

1–5 of 1.6K

Venues

  1. IEEE Transactions on Image Processing

    33 publications · 2.9K citations

    26

    h-index

  2. arXiv (Cornell University)

    Repository · 19 publications · 1.3K citations

    15

    h-index

  3. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 13 publications · 4.9K citations

    13

    h-index

  4. Neurocomputing

    12 publications · 288 citations

    13

    h-index

  5. Pattern Recognition

    15 publications · 591 citations

    12

    h-index

1–5