Matte Extraction
Matte Extraction is a computational technique in visual effects that belongs to the class of image segmentation methods, distinguished by its specific purpose of isolating foreground elements from background imagery through the estimation of per-pixel transparency values.
115
Publications
12K
Citations
292
Authors
131
Institutions
Publications per year
2017–2026
39
Parents
115
Thomas Porter, Tom Duff · 1984 · 1.2K citations
Blind deconvolution using a normalized sparsity measure
Dilip Krishnan, Terence Tay, Rob Fergus · 2011 · 1.1K citations
Ning Xu, Brian Price, Scott Cohen et al. · 2017 · 465 citations
Qifeng Chen, Dingzeyu Li, Chi–Keung Tang · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2013 · 394 citations
1–5 of 115
292
9
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
6 publications · 760 citations
6
h-index
5
h-index
5
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5
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1–5 of 292
131
Microsoft (United States)
Redmond, United States
12 h-index
15 publications
1.7K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
11 h-index
12 publications
1.4K citations
University of Washington
Seattle, United States
11 h-index
38 publications
4.4K citations
Nanyang Technological University
Singapore, Singapore
7 h-index
18 publications
735 citations
Adobe Systems (United States)
San Jose, United States
6 h-index
12 publications
2.6K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
6 h-index
11 publications
1.2K citations
Microsoft Research Asia (China)
Beijing, China
5 h-index
13 publications
1.5K citations

University of Alberta
Edmonton, Canada
5 h-index
8 publications
229 citations
1–8 of 131
TOG · 11 publications · 1.2K citations
11
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TPAMI · 5 publications · 1.1K citations
5
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5 publications · 153 citations
5
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Repository · 5 publications · 136 citations
5
h-index
3 publications · 74 citations
3
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1–5