Pairwise Stitching

Pairwise Stitching is a fundamental image registration technique in computer vision that, as a singular method within the broader class of image stitching frameworks, specifically aligns two overlapping images by estimating their geometric transformation through feature correspondence and optimization, distinguishing itself from multi-image or global stitching approaches by operating exclusively on image pairs.

8

Publications

415

Citations

33

Authors

17

Institutions

Publications per year

2017–2026

6

Authors

33

  1. SE
    Seyyed Erfan Mohammadi

    Shahid Beheshti University of Medical Sciences, Iran

    1 publications · 20 citations

    1

    h-index

  2. HS
    Hasti Shabani

    Shahid Beheshti University, Iran

    1 publications · 20 citations

    1

    h-index

  3. ZY
    Zhan Yu

    University of Delaware, United States

    1 publications · 51 citations

    1

    h-index

  4. SM
    Seyed Mohammad Ali Mirkarimi

    Shahid Beheshti University of Medical Sciences, Iran

    1 publications · 20 citations

    1

    h-index

  5. YL
    Yan Li

    University of Southern Queensland, Australia

    1 publications · 18 citations

    1

    h-index

1–5 of 33

Venues

  1. Scientific Reports

    2 publications · 244 citations

    2

    h-index

  2. IEEE Transactions on Medical Imaging

    1 publications · 34 citations

    1

    h-index

  3. Expert Systems with Applications

    1 publications · 18 citations

    1

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 51 citations

    1

    h-index

  5. IEEE Transactions on Image Processing

    1 publications · 38 citations

    1

    h-index

1–5