Feature Correspondence Estimation

Feature Correspondence Estimation is the process of identifying matching image points across multiple views that originate from the same physical 3D point, forming the foundational correspondence problem in multi-view geometry.

117

Publications

10.7K

Citations

357

Authors

163

Institutions

Publications per year

2017–2026

24

Authors

357

  1. JM
    Jiayi Ma

    Wuhan University, China

    4 publications · 274 citations

    4

    h-index

  2. JZ
    Ji Zhao

    Wuhan University, China

    3 publications · 251 citations

    3

    h-index

  3. KD
    Kostas Daniilidis

    University of Pennsylvania, United States

    3 publications · 212 citations

    3

    h-index

  4. OD
    Olivier Duchenne

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

    3 publications · 503 citations

    3

    h-index

  5. JT
    Jinwen Tian

    Huazhong University of Science and Technology, China

    3 publications · 244 citations

    3

    h-index

1–5 of 357

Venues

  1. 9

    h-index

  2. Pattern Recognition

    4 publications · 98 citations

    4

    h-index

  3. Sensors

    3 publications · 43 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 70 citations

    3

    h-index

  5. IEEE Transactions on Image Processing

    3 publications · 47 citations

    2

    h-index

1–5