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.
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9.5K
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287
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151
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2017–2026
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Variants
Figure-ground Separation
Parents
128
Video Segmentation by Tracking Many Figure-Ground Segments
Fuxin Li, Taeyoung Kim, Ahmad Humayun et al. · 2013 · 524 citations · Full text
Combining Top-Down and Bottom-Up Segmentation
Eran Borenstein, E. Sharon, Shimon Ullman · 2005 · 274 citations
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University of California, Berkeley
Berkeley, United States
8 h-index
15 publications
1.4K citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
10 publications
685 citations
University College London
London, United Kingdom
4 h-index
11 publications
1K citations
Boston University
Boston, United States
4 h-index
5 publications
397 citations
University of Arizona
Tucson, United States
4 h-index
5 publications
609 citations
ETH Zurich
Zurich, Switzerland
4 h-index
5 publications
1.2K citations
University of Pennsylvania
Philadelphia, United States
3 h-index
7 publications
346 citations

Lund University
Lund, Sweden
3 h-index
3 publications
213 citations
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4 publications · 52 citations
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4 publications · 348 citations
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