Correspondence Estimation

Correspondence Estimation is a methodological process within sensor and volume registration that identifies and establishes the precise spatial or temporal associations between distinct sets of measurements or data points by determining which elements in one domain correspond to those in another, thereby enabling accurate alignment and fusion of multimodal or multi-temporal observations.

192

Publications

11.1K

Citations

565

Authors

250

Institutions

Publications per year

2017–2026

51

Authors

565

  1. JM
    Jiayi Ma

    Wuhan University, China

    5 publications · 631 citations

    5

    h-index

  2. JM
    Javier Mínguez

    Universidad de Zaragoza, Spain

    4 publications · 360 citations

    4

    h-index

  3. AF
    Andrew Fitzgibbon

    Microsoft Research (United Kingdom), United Kingdom

    3 publications · 263 citations

    3

    h-index

  4. KS
    Kwanghoon Sohn

    Yonsei University, South Korea

    3 publications · 191 citations

    3

    h-index

  5. BH
    Bumsub Ham

    Yonsei University, South Korea

    3 publications · 191 citations

    3

    h-index

1–5 of 565

Venues

  1. 9

    h-index

  2. Pattern Recognition

    7 publications · 156 citations

    7

    h-index

  3. International Journal of Computer Vision

    6 publications · 445 citations

    6

    h-index

  4. arXiv (Cornell University)

    Repository · 6 publications · 230 citations

    6

    h-index

  5. IEEE Transactions on Image Processing

    7 publications · 770 citations

    5

    h-index

1–5