Robust Stitching

Robust Stitching is a computational framework in image stitching that ensures reliable alignment and seamless integration of images under challenging conditions such as significant viewpoint changes, photometric distortions, and the presence of outliers, by incorporating adaptive feature matching, geometric consistency enforcement, and blending strategies that enhance resilience to noise and registration errors.

58

Publications

2K

Citations

207

Authors

78

Institutions

Publications per year

2017–2026

33

Authors

207

  1. JC
    Jun Chen

    China University of Geosciences, China

    3 publications · 65 citations

    3

    h-index

  2. YZ
    Yao Zhao

    Beijing Jiaotong University, China

    2 publications · 112 citations

    2

    h-index

  3. YC
    Yu‐An Chen

    Harvard University, United States

    2 publications · 166 citations

    2

    h-index

  4. LN
    Lang Nie

    Beijing Jiaotong University, China

    2 publications · 112 citations

    2

    h-index

  5. XJ
    Xingyu Jiang

    Wuhan University, China

    2 publications · 42 citations

    2

    h-index

1–5 of 207

Venues

  1. Sensors

    5 publications · 139 citations

    5

    h-index

  2. 4

    h-index

  3. 3

    h-index

  4. 3

    h-index

  5. Remote Sensing

    2 publications · 39 citations

    2

    h-index

1–5