Matching Optimization

Matching Optimization is a geometric optimization method that specifically addresses the optimal correspondence between geometric entities by minimizing a distortion or dissimilarity measure under explicit pairing constraints.

89

Publications

3K

Citations

263

Authors

141

Institutions

Publications per year

2017–2026

26

Authors

263

  1. ER
    Edwin R. Hancock

    University of York, United Kingdom

    3 publications · 68 citations

    3

    h-index

  2. RC
    Richard C. Wilson

    University of York, United Kingdom

    2 publications · 55 citations

    2

    h-index

  3. MM
    Michael M. Zavlanos

    Duke University, United States

    2 publications · 45 citations

    2

    h-index

  4. YS
    Yuting Su

    Tianjin University, China

    2 publications · 73 citations

    2

    h-index

  5. HA
    Haris Aziz

    UNSW Sydney, Australia

    2 publications · 43 citations

    2

    h-index

1–5 of 263

Venues

  1. Image and Vision Computing

    2 publications · 60 citations

    2

    h-index

  2. Measurement Science and Technology

    1 publications · 21 citations

    1

    h-index

  3. Journal of Applied Polymer Science

    1 publications · 37 citations

    1

    h-index

  4. 1

    h-index

  5. COMBINATORICA

    1 publications · 13 citations

    1

    h-index

1–5