Multi-view Stitching

Multi-View Stitching is a computational framework in image processing that integrates multiple overlapping images captured from different viewpoints into a coherent high-resolution panorama by jointly optimizing geometric alignment and photometric consistency across all views.

100

Publications

5.7K

Citations

347

Authors

144

Institutions

Publications per year

2017–2026

43

Authors

347

  1. RS
    Richard Szeliski

    Microsoft (United States), United States

    4 publications · 326 citations

    4

    h-index

  2. MU
    Matt Uyttendaele

    Microsoft (United States), United States

    3 publications · 602 citations

    3

    h-index

  3. AA
    Aseem Agarwala

    Adobe Systems (United States), United States

    2 publications · 208 citations

    2

    h-index

  4. DS
    David Salesin

    University of Washington, United States

    2 publications · 208 citations

    2

    h-index

  5. JS
    Jae-Young Sim

    Ulsan National Institute of Science and Technology, South Korea

    2 publications · 129 citations

    2

    h-index

1–5 of 347

Venues

  1. ACM Transactions on Graphics

    TOG · 5 publications · 407 citations

    5

    h-index

  2. IEEE Transactions on Image Processing

    3 publications · 180 citations

    3

    h-index

  3. 3

    h-index

  4. 2

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 90 citations

    2

    h-index

1–5