Figure-ground Segmentation

Figure-Ground Segmentation is a perceptual process in visual cognition that distinguishes a salient object (figure) from its surrounding background (ground) based on properties such as contrast, closure, and symmetry, thereby enabling the parsing of visual scenes into foreground and background regions.

128

Publications

9.5K

Citations

287

Authors

151

Institutions

Publications per year

2017–2026

20

Variants

Figure-ground Separation

Authors

287

  1. CS
    Cristian Sminchisescu

    Romanian Academy, Romania

    6 publications · 462 citations

    6

    h-index

  2. JC
    João Carreira

    University of California, Berkeley, United States

    4 publications · 269 citations

    4

    h-index

  3. MU
    Martin Urschler

    Graz University of Technology, Austria

    4 publications · 447 citations

    4

    h-index

  4. JM
    Jitendra Malik

    University of California, Berkeley, United States

    4 publications · 510 citations

    4

    h-index

  5. MA
    Mary A. Peterson

    University of Arizona, United States

    4 publications · 555 citations

    4

    h-index

1–5 of 287

Venues

  1. Perception

    4 publications · 52 citations

    4

    h-index

  2. Psychological Science

    4 publications · 348 citations

    4

    h-index

  3. PLoS ONE

    4 publications · 125 citations

    4

    h-index

  4. Journal of Neuroscience

    3 publications · 99 citations

    3

    h-index

  5. Vision Research

    3 publications · 121 citations

    3

    h-index

1–5