Traditional Computer Vision

Traditional Computer Vision is a methodological framework within computer vision that relies on handcrafted feature extraction and classical image processing techniques, as opposed to data-driven learning approaches such as deep neural networks.

144

Publications

9.4K

Citations

573

Authors

233

Institutions

Publications per year

2017–2026

117

Variants

Classical Computer Vision

Authors

573

  1. JY
    Junaid Younas

    German Research Centre for Artificial Intelligence, Germany

    2 publications · 35 citations

    2

    h-index

  2. JT
    Jianbin Tang

    IBM Research - Australia, Australia

    2 publications · 510 citations

    2

    h-index

  3. YC
    Yuru Chen

    University Town of Shenzhen, China

    2 publications · 112 citations

    2

    h-index

  4. YF
    Yu Feng

    Leibniz University Hannover, Germany

    2 publications · 150 citations

    2

    h-index

  5. PL
    Paul Lukowicz

    German Research Centre for Artificial Intelligence, Germany

    2 publications · 35 citations

    2

    h-index

1–5 of 573

Venues

  1. IEEE Access

    9 publications · 219 citations

    9

    h-index

  2. arXiv (Cornell University)

    Repository · 8 publications · 438 citations

    8

    h-index

  3. Sensors

    5 publications · 288 citations

    5

    h-index

  4. PLoS ONE

    3 publications · 174 citations

    3

    h-index

  5. Expert Systems with Applications

    2 publications · 95 citations

    2

    h-index

1–5