Image Feature Construction

Image Feature Construction is a computational methodology within feature engineering that specifically involves the derivation of informative, discriminative, and often high-dimensional representations from raw pixel data through mathematical transformations, structural analysis, or deep learning techniques to enhance machine perception in visual tasks.

231

Publications

12.3K

Citations

754

Authors

324

Institutions

Publications per year

2017–2026

104

Authors

754

  1. MZ
    Mengjie Zhang

    Victoria University of Wellington, New Zealand

    4 publications · 120 citations

    4

    h-index

  2. OS
    Omry Sendik

    Tel Aviv University, Israel

    3 publications · 101 citations

    3

    h-index

  3. LA
    Leon A. Gatys

    University of Tübingen, Germany

    3 publications · 561 citations

    3

    h-index

  4. DC
    Daniel Cohen‐Or

    Tel Aviv University, Israel

    3 publications · 101 citations

    3

    h-index

  5. MB
    Matthias Bethge

    University of Tübingen, Germany

    3 publications · 561 citations

    3

    h-index

1–5 of 754

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 943 citations

    10

    h-index

  2. Medical Physics

    5 publications · 340 citations

    5

    h-index

  3. 4

    h-index

  4. IEEE Transactions on Image Processing

    4 publications · 762 citations

    4

    h-index

  5. Pattern Recognition

    4 publications · 221 citations

    4

    h-index

1–5