Transform-based Image Registration

Transform-Based Image Registration is a geometric transformation methodology that aligns disparate images into a common coordinate system by estimating spatial mapping functions, distinguished from other registration techniques through its reliance on parametric or non-parametric transform models to achieve pixel-wise correspondence.

79

Publications

4.7K

Citations

233

Authors

108

Institutions

Publications per year

2017–2026

14

Authors

233

  1. AB
    Andreas Birk

    Constructor University, Germany

    2 publications · 57 citations

    2

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  2. YB
    Y. Bentoutou

    Université Djilali de Sidi Bel Abbès, Algeria

    2 publications · 132 citations

    2

    h-index

  3. AC
    Ali Can

    Rensselaer Polytechnic Institute, United States

    2 publications · 129 citations

    2

    h-index

  4. BR
    Badrinath Roysam

    Rensselaer Polytechnic Institute, United States

    2 publications · 129 citations

    2

    h-index

  5. JC
    James C. Gee

    University of Pennsylvania, United States

    2 publications · 1.3K citations

    2

    h-index

1–5 of 233

Venues

  1. Pattern Recognition

    4 publications · 167 citations

    4

    h-index

  2. Optik

    3 publications · 39 citations

    3

    h-index

  3. IEEE Transactions on Image Processing

    3 publications · 115 citations

    3

    h-index

  4. National Remote Sensing Bulletin

    2 publications · 54 citations

    2

    h-index

  5. 1

    h-index

1–5