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

Authors

292

  1. BC
    Brian Curless

    University of Washington, United States

    9 publications · 874 citations

    9

    h-index

  2. CT
    Chi–Keung Tang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    6 publications · 760 citations

    6

    h-index

  3. RS
    Richard Szeliski

    Microsoft (United States), United States

    5 publications · 614 citations

    5

    h-index

  4. YC
    Yung‐Yu Chuang

    National Taiwan University, Taiwan

    5 publications · 615 citations

    5

    h-index

  5. HS
    Heung‐Yeung Shum

    Microsoft Research Asia (China), China

    5 publications · 601 citations

    5

    h-index

1–5 of 292

Venues

  1. ACM Transactions on Graphics

    TOG · 11 publications · 1.2K citations

    11

    h-index

  2. 5

    h-index

  3. IEEE Transactions on Image Processing

    5 publications · 153 citations

    5

    h-index

  4. arXiv (Cornell University)

    Repository · 5 publications · 136 citations

    5

    h-index

  5. 3

    h-index

1–5