Optimization Methods For Registration

Optimization Methods for Registration is a computational framework that systematically refines sensor alignment by minimizing registration error through iterative parameter estimation within a mathematically defined objective function.

523

Publications

68.1K

Citations

1.4K

Authors

526

Institutions

Publications per year

2017–2026

127

Authors

1.4K

  1. SD
    Shaoyi Du

    Xi'an Jiaotong University, China

    14 publications · 468 citations

    12

    h-index

  2. JS
    José Santamaría

    Universidad de Jaén, Spain

    12 publications · 481 citations

    11

    h-index

  3. SD
    Sergio Damas

    European Centre for Soft Computing, Spain

    11 publications · 466 citations

    10

    h-index

  4. ÓC
    Óscar Cordón

    Universidad de Granada, Spain

    9 publications · 427 citations

    9

    h-index

  5. WM
    Wenping Ma

    Xidian University, China

    9 publications · 423 citations

    9

    h-index

1–5 of 1.4K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 16 publications · 2.6K citations

    15

    h-index

  2. IEEE Transactions on Medical Imaging

    13 publications · 2.8K citations

    13

    h-index

  3. 12

    h-index

  4. IEEE Transactions on Image Processing

    13 publications · 895 citations

    12

    h-index

  5. NeuroImage

    11 publications · 21.4K citations

    11

    h-index

1–5