Image-based Appearance Analysis

Image-Based Appearance Analysis is a scholarly method within the field of appearance evaluation that utilizes visual data, such as photographs or digital images, to systematically assess and interpret physical characteristics or aesthetic attributes of individuals or objects.

86

Publications

13.6K

Citations

246

Authors

111

Institutions

Publications per year

2017–2026

13

Authors

246

  1. TC
    T.F. Cootes

    University of Manchester, United Kingdom

    4 publications · 5.6K citations

    4

    h-index

  2. AE
    Ayman El‐Baz

    University of Louisville, United States

    4 publications · 116 citations

    4

    h-index

  3. GG
    Georgy Gimel’farb

    University of Auckland, New Zealand

    3 publications · 85 citations

    3

    h-index

  4. CT
    Chris Taylor

    University of Manchester, United Kingdom

    3 publications · 5.6K citations

    3

    h-index

  5. HB
    Horesh Ben Shitrit

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 412 citations

    2

    h-index

1–5 of 246

Venues

  1. 3

    h-index

  2. IEEE Access

    3 publications · 69 citations

    3

    h-index

  3. Textile Research Journal

    3 publications · 60 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 226 citations

    2

    h-index

  5. Computer Vision and Image Understanding

    CVIU · 2 publications · 150 citations

    2

    h-index

1–5