Shadow Softness

Shadow Softness is a photometric property in computer vision and image analysis that characterizes the gradual transition between illuminated and occluded regions in a shadow, distinguishing itself from binary or hard-edged shadow representations by quantifying the spatial diffusion and perceptual blurriness of shadow boundaries.

31

Publications

1.3K

Citations

101

Authors

58

Institutions

Publications per year

2017–2026

6

Authors

101

  1. MW
    Michael Wimmer

    TU Wien, Austria

    2 publications · 28 citations

    2

    h-index

  2. JK
    Jan Kautz

    University College London, United Kingdom

    2 publications · 48 citations

    2

    h-index

  3. VK
    V. K. Govindan

    National Institute of Technology Calicut, India

    2 publications · 29 citations

    2

    h-index

  4. CS
    Cyril Soler

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 170 citations

    2

    h-index

  5. SK
    Saidalavi Kalady

    National Institute of Technology Calicut, India

    2 publications · 29 citations

    2

    h-index

1–5 of 101

Venues

  1. Computer Graphics Forum

    3 publications · 52 citations

    3

    h-index

  2. Computational Visual Media

    1 publications · 14 citations

    1

    h-index

  3. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 1 publications · 134 citations

    1

    h-index

  4. Information Technology And Control

    1 publications · 15 citations

    1

    h-index

  5. The Astrophysical Journal

    ApJ · 1 publications · 11 citations

    1

    h-index

1–5