Material Segmentation

Material Segmentation is a methodological contribution in the field of computer vision that partitions a digital image or 3D scene into distinct regions corresponding to individual materials or surface types, differentiating itself from general semantic segmentation by focusing specifically on material properties rather than object or shape boundaries.

152

Publications

5.8K

Citations

658

Authors

291

Institutions

Publications per year

2017–2026

102

Authors

658

  1. JM
    João Manuel R. S. Tavares

    Universidade do Porto, Portugal

    4 publications · 277 citations

    4

    h-index

  2. VH
    Victor Hugo C. de Albuquerque

    Universidade de Fortaleza, Brazil

    4 publications · 277 citations

    4

    h-index

  3. PC
    Paulo César Cortez

    Universidade Federal do Ceará, Brazil

    3 publications · 233 citations

    3

    h-index

  4. PW
    Peter W. Voorhees

    Northwestern University, United States

    3 publications · 125 citations

    3

    h-index

  5. DY
    Dilworth Y. Parkinson

    Lawrence Berkeley National Laboratory, United States

    3 publications · 81 citations

    3

    h-index

1–5 of 658

Venues

  1. Materials Characterization

    6 publications · 265 citations

    6

    h-index

  2. Measurement

    4 publications · 83 citations

    4

    h-index

  3. Scientific Reports

    3 publications · 117 citations

    3

    h-index

  4. Microscopy and Microanalysis

    3 publications · 225 citations

    3

    h-index

  5. 3

    h-index

1–5