Descriptor Matching

Descriptor Matching is a computational method in visual localization that identifies correspondences between local image features by comparing their associated descriptor vectors to establish geometric constraints across views.

1.1K

Publications

116.8K

Citations

3.1K

Authors

928

Institutions

Publications per year

2017–2026

377

Authors

3.1K

  1. KM
    Krystian Mikolajczyk

    University of Surrey, United Kingdom

    11 publications · 1.4K citations

    11

    h-index

  2. GT
    Giorgos Tolias

    Czech Technical University in Prague, Czechia

    12 publications · 2.9K citations

    11

    h-index

  3. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    10 publications · 2K citations

    10

    h-index

  4. HJ
    Hervé Jeǵou

    Institut national de recherche en sciences et technologies du numérique, France

    10 publications · 1.6K citations

    10

    h-index

  5. RS
    Roland Siegwart

    ETH Zurich, Switzerland

    9 publications · 3.7K citations

    9

    h-index

1–5 of 3.1K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 37 publications · 14.8K citations

    30

    h-index

  2. Pattern Recognition

    27 publications · 1.9K citations

    20

    h-index

  3. IEEE Transactions on Image Processing

    22 publications · 1.7K citations

    19

    h-index

  4. arXiv (Cornell University)

    Repository · 36 publications · 2.7K citations

    19

    h-index

  5. IEEE Transactions on Multimedia

    19 publications · 1.2K citations

    17

    h-index

1–5